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://staging.r-multiverse.org', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

experimentlying

2.70 score 143 downloads 9 exports 33 dependencies

Last updated from:4a0b41cde2. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK665
source / vignettesOK174
linux-releaseOK128
macos-releaseOK88
macos-oldrelOK86
windows-develOK667
windows-releaseOK72
windows-oldrelOK66
wasm-releaseOK108

Exports:compare_distsdifference_distdist_hdrdist_meandist_quantileempirical_bayespower_calcpower_calc_differenceupdate_prior

Dependencies:ashclicpp11farverFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMatrixmclustmgcvmulticoolmvtnormnlmepracmaR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr