Package: RmlxStats 0.3.0
David Hugh-Jones
RmlxStats: MLX-Accelerated Statistical Models
Fast statistical routines on Apple Silicon using the Rmlx package.
Authors:
RmlxStats_0.3.0.tar.gz
RmlxStats_0.3.0.tgz(r-4.6-any)
RmlxStats_0.3.0.tar.gz(r-4.7-any)RmlxStats_0.3.0.tar.gz(r-4.6-any)
RmlxStats_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RmlxStats/json (API)
NEWS
| # Install 'RmlxStats' in R: |
| install.packages('RmlxStats', repos = c('https://community.r-multiverse.org', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hughjonesd/rmlxstats/issues
Pkgdown/docs site:https://hughjonesd.github.io
Last updated from:36963b9c30 (on v0.3.0). Checks:2 ERROR, 2 OK, 1 WARNING, 4 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 145 | ||
| source / vignettes | OK | 474 | ||
| linux-release-x86_64 | ERROR | 148 | ||
| macos-release-arm64 | WARNING | 108 | ||
| macos-oldrel-arm64 | FAIL | 92 | ||
| windows-devel | FAIL | 106 | ||
| windows-release | FAIL | 102 | ||
| windows-oldrel | FAIL | 111 | ||
| wasm-release | OK | 594 |
Exports:augmentglancemlxs_binomialmlxs_bootmlxs_cv_glmnetmlxs_gaussianmlxs_glmmlxs_glm_controlmlxs_glmnetmlxs_lmmlxs_lm_fitmlxs_poissonmlxs_prcompmlxs_quasibinomialmlxs_quasipoissontidy
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Re-export generics | augment generics-reexports glance tidy |
| MLX-friendly binomial family | mlxs_binomial |
| Bootstrap MLX arrays along the first dimension | mlxs_boot |
| Cross-validated MLX elastic net regression | mlxs_cv_glmnet |
| MLX-friendly Gaussian family | mlxs_gaussian |
| MLX-backed generalized linear model | mlxs_glm |
| Control parameters | mlxs_glm_control |
| MLX-backed elastic net regression | mlxs_glmnet |
| MLX-backed linear regression | mlxs_lm |
| Fit an MLX linear model from design matrices | mlxs_lm_fit |
| MLX-friendly Poisson family | mlxs_poisson |
| MLX-backed principal components analysis | mlxs_prcomp |
| MLX-friendly quasibinomial family | mlxs_quasibinomial |
| MLX-friendly quasipoisson family | mlxs_quasipoisson |
| mlxs_glm method utilities | anova.mlxs_glm augment.mlxs_glm bread.mlxs_glm confint.mlxs_glm estfun.mlxs_glm fitted.mlxs_glm glance.mlxs_glm hatvalues.mlxs_glm mlxs-glm-methods model.frame.mlxs_glm model.matrix.mlxs_glm nobs.mlxs_glm predict.mlxs_glm print.mlxs_glm print.summary.mlxs_glm residuals.mlxs_glm summary.mlxs_glm terms.mlxs_glm tidy.mlxs_glm vcov.mlxs_glm weights.mlxs_glm |
| mlxs_lm method utilities | anova.mlxs_lm as.data.frame.mlxs_anova augment.mlxs_lm bread.mlxs_lm confint.mlxs_lm estfun.mlxs_lm fitted.mlxs_lm glance.mlxs_lm hatvalues.mlxs_lm mlxs-lm-methods model.frame.mlxs_lm model.matrix.mlxs_lm nobs.mlxs_lm predict.mlxs_lm print.mlxs_anova print.mlxs_lm print.summary.mlxs_lm residuals.mlxs_lm summary.mlxs_lm terms.mlxs_lm tidy.mlxs_anova tidy.mlxs_lm vcov.mlxs_lm |
| Shared mlxs model methods | coef.mlxs_model mlxs-model-methods update.mlxs_model |
| PCA methods for 'mlxs_prcomp' | augment.mlxs_prcomp biplot.mlxs_prcomp mlxs-prcomp-methods nobs.mlxs_prcomp plot.mlxs_prcomp predict.mlxs_prcomp print.mlxs_prcomp summary.mlxs_prcomp tidy.mlxs_prcomp |
