Package: truelies 0.2.1

David Hugh-Jones

truelies: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments

Implements Bayesian methods, described in Hugh-Jones (2019) <doi:10.1007/s40881-019-00069-x>, for estimating the proportion of liars in coin flip-style experiments, where subjects report a random outcome and are paid for reporting a "good" outcome.

Authors:David Hugh-Jones <[email protected]>

truelies_0.2.1.tar.gz
truelies_0.2.1.zip(r-4.7-any)truelies_0.2.1.zip(r-4.6-any)truelies_0.2.1.zip(r-4.5-any)
truelies_0.2.1.tgz(r-4.6-any)truelies_0.2.1.tgz(r-4.5-any)
truelies_0.2.1.tar.gz(r-4.7-any)truelies_0.2.1.tar.gz(r-4.6-any)
truelies_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
truelies/json (API)

# Install 'truelies' in R:
install.packages('truelies', repos = c('https://community.r-multiverse.org', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hughjonesd/truelies/issues

On CRAN:

Conda:

experimentlying

2.70 score 2 scripts 187 downloads 9 exports 33 dependencies

Last updated from:4a0b41cde2 (on v0.2.1). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK152
source / vignettesOK177
linux-releaseOK146
macos-releaseOK104
macos-oldrelOK85
windows-develOK59
windows-releaseOK67
windows-oldrelOK66
wasm-releaseOK121

Exports:compare_distsdifference_distdist_hdrdist_meandist_quantileempirical_bayespower_calcpower_calc_differenceupdate_prior

Dependencies:ashclicpp11farverFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMatrixmclustmgcvmulticoolmvtnormnlmepracmaR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr