igraph - Network Analysis and Visualization

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

Last updated

complex-networksgraph-algorithmsgraph-theorymathematicsnetwork-analysisnetwork-graphfortranlibxml2glpkopenblascpp

20.60 score 600 stars 2.0k dependents 33k scripts 402k downloads

rlang - Functions for Base Types and Core R and 'Tidyverse' Features

A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.

Last updated

20.44 score 539 stars 15k dependents 12k scripts 1.8M downloads

arrow - Integration to 'Apache' 'Arrow'

'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.

Last updated

arrowparquetcurlopensslcpp

19.63 score 16k stars 116 dependents 14k scripts 409k downloads

bayesplot - Plotting for Bayesian Models

Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.

Last updated

bayesianggplot2mcmcpandocstanstatistical-graphicsvisualization

16.47 score 437 stars 95 dependents 8.7k scripts 45k downloads

loo - Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.

Last updated

bayesbayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-statisticscross-validationinformation-criterionmodel-comparisonstan

16.33 score 156 stars 293 dependents 3.5k scripts 56k downloads

later - Utilities for Scheduling Functions to Execute Later with Event Loops

Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.

Last updated

event-loopcpp

16.32 score 147 stars 2.7k dependents 308 scripts 573k downloads

prophet - Automatic Forecasting Procedure

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

Last updated

forecastingpythoncpp

16.12 score 20k stars 15 dependents 1.0k scripts 29k downloads

targets - Dynamic Function-Oriented 'Make'-Like Declarative Pipelines

Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).

Last updated

data-sciencehigh-performance-computingmakepeer-reviewedpipeliner-targetopiareproducibilityreproducible-researchtargetsworkflow

15.42 score 1.0k stars 23 dependents 5.0k scripts 18k downloads

posterior - Tools for Working with Posterior Distributions

Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.

Last updated

bayesbayesianmcmc

14.97 score 169 stars 345 dependents 4.0k scripts 60k downloads

duckdb - DBI Package for the DuckDB Database Management System

The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.

Last updated

databaseduckdbolapcpp

14.15 score 186 stars 67 dependents 2.1k scripts 39k downloads

litedown - A Lightweight Version of R Markdown

Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.

Last updated

litedownmarkdownr-markdownreport-generatorreproducible-research

13.87 score 229 stars 513 dependents 24 scripts 306k downloads

mirai - Minimalist Async Evaluation Framework for R

Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network. Modern networking and concurrency, built on 'nanonext' and 'NNG', ensures reliable scheduling over fast inter-process communications or TCP/IP secured by TLS. Launch remote resources via SSH or cluster managers for distributed computing. Scales efficiently to millions of tasks over thousands of connections, requiring no storage on the file system due to its inherently queued architecture. Innovative features include event-driven promises, asynchronous parallel map, and seamless serialization of otherwise non-exportable reference objects.

Last updated

asyncasynchronous-tasksconcurrencydistributed-computinghigh-performance-computingparallel-computing

13.79 score 287 stars 60 dependents 211 scripts 50k downloads

shinystan - Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by the 'Shiny' web application framework from 'RStudio' and works with the output of MCMC programs written in any programming language (and has extended functionality for 'Stan' models fit using the 'rstan' and 'rstanarm' packages).

Last updated

bayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-statisticsmcmcshiny-appsstanstatistical-graphics

13.48 score 199 stars 16 dependents 1.8k scripts 26k downloads

cmdstanr - R Interface to 'CmdStan'

A lightweight interface to 'Stan' <https://mc-stan.org>. The 'CmdStanR' interface is an alternative to 'RStan' that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via 'Rcpp'. This has many benefits including always being compatible with the latest version of Stan, fewer installation errors, fewer unexpected crashes in RStudio, and a more permissive license.

Last updated

bayesbayesianmarkov-chain-monte-carlomaximum-likelihoodmcmcstanvariational-inference

12.48 score 154 stars 10 dependents 7.6k scripts

rredlist - 'IUCN' Red List Client

'IUCN' Red List (<https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.

Last updated

iucnbiodiversityapiweb-servicestraitshabitatspeciesconservationapi-wrapperiucn-red-listtaxize

12.34 score 58 stars 22 dependents 234 scripts 14k downloads

crew - A Distributed Worker Launcher Framework

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.

Last updated

high-performance-computing

12.20 score 146 stars 3 dependents 332 scripts 12k downloads

nanoarrow - Interface to the 'nanoarrow' 'C' Library

Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.

Last updated

arrowlibzstdcpp

12.14 score 206 stars 32 dependents 41 scripts 42k downloads

adbcdrivermanager - 'Arrow' Database Connectivity ('ADBC') Driver Manager

Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated

arrowdatabasecpp

11.81 score 481 stars 6 dependents 88 scripts 3.8k downloads

tarchetypes - Archetypes for Targets

Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.

Last updated

data-sciencehigh-performance-computingpeer-reviewedpipeliner-targetopiareproducibilitytargetsworkflow

11.64 score 146 stars 10 dependents 2.0k scripts 5.8k downloads

projpred - Projection Predictive Feature Selection

Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2025, <doi:10.1007/s00180-024-01506-0>), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, <doi:10.48550/arXiv.2109.04702>, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.

Last updated

bayesbayesianbayesian-inferencerstanarmstanstatisticsvariable-selectionopenblascpp

11.16 score 112 stars 273 scripts 9.9k downloads

webchem - Chemical Information from the Web

Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.

Last updated

cas-numberchemical-informationchemspideridentifierropensciwebscraping

10.98 score 171 stars 10 dependents 178 scripts 1.7k downloads

deeptime - Plotting Tools for Anyone Working in Deep Time

Extends the functionality of other plotting packages (notably 'ggplot2') to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.

Last updated

geologyggplot2paleontologyvisualization

10.73 score 104 stars 3 dependents 320 scripts 2.1k downloads

nanonext - NNG (Nanomsg Next Gen) Lightweight Messaging Library

R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library for reliable, high-performance messaging over in-process, IPC, TCP, WebSocket and secure TLS transports. Implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and service discovery. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing. Intuitive 'aio' objects resolve automatically when asynchronous operations complete, and synchronisation primitives allow R to wait upon events signalled by concurrent threads.

Last updated

concurrencyhttpsipc-messagemessaging-librarynngrpcsocket-communicationsynchronization-primitivestcp-protocolwebsocketmbedtls

10.67 score 74 stars 62 dependents 34 scripts 46k downloads

polars - R Bindings for the 'polars' Rust Library

Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.

Last updated

arrowpolarsrust

9.92 score 524 stars 2 dependents 255 scripts 4 downloads

httpgd - A 'HTTP' Server Graphics Device

A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.

Last updated

cpp

8.77 score 459 stars 358 scripts 203 downloads

adbcflightsql - 'Arrow' Database Connectivity ('ADBC') 'FlightSQL' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'FlightSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated

arrowdatabasegolang

8.03 score 481 stars 2 scripts

adbcbigquery - 'Arrow' Database Connectivity ('ADBC') 'BigQuery' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'BigQuery' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated

arrowdatabasegolang

8.03 score 481 stars 1 scripts

adbcsnowflake - Arrow Database Connectivity ('ADBC') 'Snowflake' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'Snowflake' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated

arrowdatabasegolang

8.03 score 481 stars 1 scripts

tidypolars - More Efficient Tidyverse Code, Using Polars in the Background

Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.

Last updated

7.99 score 215 stars 41 scripts

prqlr - R Bindings for the 'prqlc' Rust Library

Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.

Last updated

prqlrustsql

7.37 score 58 stars 17 scripts 651 downloads

colorout - Colorize R Output on Terminal Emulators

Colorize R output when it is running on a terminal emulator. The functions of this package only work if R is compiled for Unix systems and it is running interactively in a terminal emulator. The terminal must support Select Graphic Rendition (SGR, also known as ANSI escape codes or sequences). The package contains a C library with a function that replaces the default Rstd_WriteConsoleEx which, when enabled, is responsible for printing messages in the Console when R is running in interactive mode. It works with RStudio, but there is no support for Graphical User Interfaces that does not support ANSI colors, such as Windows RGui.

Last updated

7.26 score 302 stars 446 scripts 8 downloads

crew.cluster - Crew Launcher Plugins for Traditional High-Performance Computing Clusters

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Last updated

crewhigh-performance-computing

7.10 score 33 stars 91 scripts 1.2k downloads

unigd - Universal Graphics Device

A unified R graphics backend. Render R graphics fast and easy to many common file formats. Provides a thread safe 'C' interface for asynchronous rendering of R graphics.

Last updated

cairotifflibpngzlibcpp

7.06 score 24 stars 1 dependents 8 scripts 2.7k downloads

ichimoku - Visualization and Tools for Ichimoku Kinko Hyo Strategies

An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.

Last updated

ichimokuichimoku-cloudoandaquantitative-finance

7.06 score 35 stars 41 scripts 892 downloads

rJavaEnv - 'Java' Environments for R Projects

Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same project (e.g. with the help of 'targets' package). Note: there are a few extra steps for 'Linux' users, who don't have any 'Java' previously installed in their system, and who prefer package installation from source, rather then installing binaries from 'Posit Package Manager'. See documentation for details.

Last updated

environmentsjavareproducibilityreproducible-researchquarto

7.00 score 21 stars 16 scripts 1.2k downloads

string2path - Rendering Font into 'data.frame'

Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.

Last updated

rustcargo

6.99 score 99 stars 12 scripts 15k downloads

taxizedb - Tools for Working with 'Taxonomic' Databases

Tools for working with 'taxonomic' databases, including utilities for downloading databases, loading them into various 'SQL' databases, cleaning up files, and providing a 'SQL' connection that can be used to do 'SQL' queries directly or used in 'dplyr'.

Last updated

itistaxizetaxonomic-databasestaxonomy

6.90 score 32 stars 1 dependents 104 scripts 2.7k downloads

rwasm - Build R Packages for WebAssembly

Utility functions to help build R packages compiled for WebAssembly (Wasm), manage Wasm binary R package libraries and repositories, and prepare webR compatible filesystem images for static web hosting of data files and R packages.

Last updated

6.85 score 70 stars 6 scripts

jagstargets - Targets for JAGS Pipelines

Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this burden. 'jagstargets' makes it super easy to set up scalable JAGS pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. For the underlying methodology, please refer to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.

Last updated

bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargetscpp

6.45 score 11 stars 32 scripts 507 downloads

ggsurveillance - Tools for Outbreak Investigation/Infectious Disease Surveillance

Create epicurves, epigantt charts, and diverging bar charts using 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2', (D) labelling of the last value of a time-series. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).

Last updated

epidemiologyinfectious-disease-surveillanceinfectious-diseasesoutbreaks

6.39 score 9 stars 6 scripts 161 downloads

bridgestan - BridgeStan, Accessing Stan Model Functions in R

BridgeStan provides efficient in-memory access to the methods of a Stan model, including log densities, gradients, Hessians, and constraining and unconstraining transforms.

Last updated

ccppjuliapythonstan

6.02 score 104 stars 9 scripts

IMD - Index of Multiple Deprivation Data for the UK

Index of Multiple Deprivation for UK nations at various geographical levels. In England, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>. In Wales, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>. In Scotland, deprivation data is for Data Zones, Intermediate Zones, and Council Areas based on data from <https://simd.scot>. In Northern Ireland, deprivation data is for Super Output Areas and Local Government Districts based on data from <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>. The 'IMD' package also provides the composite UK index developed by <https://github.com/mysociety/composite_uk_imd>.

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5.92 score 17 stars 49 scripts 842 downloads

geographr - R package for mapping UK geographies

A package to distribute and compute on UK geographical data.

Last updated

5.89 score 41 stars 474 scripts

posteriordb - R Functionality for PosteriorDB

R functionality of easy handling of the posteriordb posteriors.

Last updated

5.45 score 8 stars 117 scripts

SBC - Simulation Based Calibration for rstan/cmdstanr models

SBC helps perform Simulation Based Calibration on Bayesian models. SBC lets you check for bugs in your model code and/or algorithm that fits the model. SBC focuses on models built with 'Stan' <https://mc-stan.org>, but can support other modelling languages as well.

Last updated

diagnosticssimulation-based-inference

5.24 score 61 stars 115 scripts

crew.aws.batch - A Crew Launcher Plugin for AWS Batch

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.aws.batch' package extends the 'mirai'-powered 'crew' package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Last updated

aws-batchcrewhigh-performance-computing

5.13 score 16 stars 6 scripts 509 downloads

autometric - Background Resource Logging

Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.

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5.09 score 9 stars 19 scripts 2.4k downloads

stantargets - Targets for Stan Workflows

Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'stantargets' R package leverages 'targets' and 'cmdstanr' to ease these burdens. 'stantargets' makes it super easy to set up scalable Stan pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. 'stantargets' can access all of 'cmdstanr''s major algorithms (MCMC, variational Bayes, and optimization) and it supports both single-fit workflows and multi-rep simulation studies. For the statistical methodology, please refer to 'Stan' documentation (Stan Development Team 2020) <https://mc-stan.org/>.

Last updated

bayesianhigh-performance-computingmaker-targetopiareproducibilitystanstatisticstargets

5.00 score 50 stars 198 scripts

audio.whisper - Transcribe Audio Files using the "Whisper" Automatic Speech Recognition Model

The "Whisper" models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (Automatic Speech Recognition) as well as translated into English (speech translation). The package is an "Rcpp" wrapper around the standalone C++ implementation provided at <https://github.com/ggerganov/whisper.cpp>. There are 10 pretrained models available of different sizes and language capabilities. "Whisper" is explained in the paper: 'Robust Speech Recognition via Large-Scale Weak Supervision' by Radford et al. (2022), available at <arXiv:2212.04356>.

Last updated

cpp

4.61 score 127 stars 32 scripts

asylum - Data on Asylum and Resettlement for the UK

Data on Asylum and Resettlement for the UK, provided by the Home Office <https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables>.

Last updated

4.33 score 3 stars 48 scripts 834 downloads

zstdlite - Fast Compression and Serialization with 'Zstandard' Algorithm

Fast, compressed serialization of R objects using the 'Zstandard' algorithm. R objects can be compressed and decompressed quickly using the standard serialization mechanism in R. Raw byte vectors and strings are also handled directly for compatibility with compressed data created by other systems and programs supporting 'Zstandard' compression. Dictionaries are supported for more effective compression of small data, and functions are provided for training these dictionaries. This implementation is a wrapper around the 'Zstandard' 'C' library which is available from <https://github.com/facebook/zstd>.

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zstd

4.18 score 30 stars 7 scripts

deeptimedata - Geologic Pattern Data from FGDC Used in 'deeptime'

Geologic pattern data from <https://ngmdb.usgs.gov/fgdc_gds/geolsymstd.php>. Access functions are provided in the accompanying package 'deeptime'.

Last updated

4.15 score 4 dependents 2.4k downloads

healthyr - R package for mapping UK health data

A package to distribute and summarise on UK health data.

Last updated

4.09 score 4 stars 102 scripts

saperlipopette - Create Example Git Messes

Holds functions creating Git messes, that users would then solve, to follow <https://ohshitgit.com/>.

Last updated

git

4.08 score 30 stars

polars0 - Lightning-Fast 'DataFrame' Library

Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.

Last updated

4.00 score 6 scripts

demographr - R package for mapping UK demographics

A package to distribute UK demographic data.

Last updated

3.56 score 2 stars 60 scripts

glaredb - R Bindings for 'GlareDB'

R bindings for 'GlareDB', an analytical database based on 'Apache Arrow' and 'Apache DataFusion' that can connect to various data sources and execute queries.

Last updated

arrowglaredbrustsql

3.51 score 4 stars 6 scripts

targetsketch - Create and Visualize Targets Pipelines

A Shiny app for creating and visualizing targets pipelines (<https://github.com/wlandau/targets>). Simply supply a _targets.R file with the pipeline and supporting functions, and the app shows a dependency graph and manifest.

Last updated

data-sciencehigh-performance-computingpipelinereproducibilityshinytargetsworkflow

3.41 score 17 stars 1 scripts

milRex - Query Military Expenditure Data From SIPRI

Queries data from the Military Expenditure Database by SIPRI.

Last updated

3.30 score 2 stars 1 scripts

webseq - Access data from biological sequence databases like NCBI, ENA, MGnify

This package interacts with online biological sequence databases. It provides functions to search for sequences, convert identifiers and download sequences and associated metadata.

Last updated

3.18 score 3 stars 1 scripts

mutagen - Extensions to dplyr's mutate

Extensions to dplyr's mutate.

Last updated

dplyrmutate

3.00 score 4 stars

tidytab - Create Tables of Frequencies

Functions to create tables of frequencies.

Last updated

exploratory-data-analysistidy-table

3.00 score 20 stars

multiverse.internals - Internal Infrastructure for R-multiverse

R-multiverse requires this internal infrastructure package to automate contribution reviews and populate universes.

Last updated

2.86 score 2 stars 1 scripts

loneliness - A Loneliness Prescription Index for the UK

A loneliness prescription index for the UK.

Last updated

2.68 score 2 stars 16 scripts

multitools - Tools for Contributing Packages to R-multiverse

'R-multiverse' is a community-curated collection of R package releases, powered by 'R-universe'. The 'multitools' package has tools for maintainers of packages in 'R-multiverse'.

Last updated

2.65 score 3 stars

tidytensor - TidyTensor

Provides functions for working with tensors (vectors, matrices, or multidimensional arrays) as named hierarchical data structures.

Last updated

2.30 score 4 stars 1 scripts

wildfires - Mapping Risk and Resilience to wildfires in the UK

Build an social vulnerability index using PCA and identify areas of high wildfire risk and high social vulnerability.

Last updated

2.18 score 1 stars

ExpBites - Simulate and Analyze Human Exposure to Mosquito Biting

This package provides tools to analyse human and mosquito behavioral intercations and compute exposure to mosquito bites. It includes functions to generate behavioral data for individuals and biting patterns for mosquitoes, compute hourly exposure for bednet users and non-users, and summarize or visualize these dynamics across a 24-hour cycle.

Last updated

1.70 score 1 stars

audio.vadwebrtc - Voice Activity Detection using the 'webrtc' Toolkit

Voice Activity Detection using the 'webrtc' toolkit. Identify the locations in audio files where there is an active voice. The is done based on a Gaussian Mixture Model implemented in the 'webrtc' framework.

Last updated

cpp

1.70 score 1 stars 6 scripts