Package: truelies 0.2.0.9000

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]>

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NEWS

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

Peer review:

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

On CRAN:

experimentlying

9 exports 2.70 score 40 dependencies 2 scripts 165 downloads

Last updated 3 years agofrom:050593a39b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 02 2024
R-4.5-winOKOct 02 2024
R-4.5-linuxOKOct 02 2024
R-4.4-winOKOct 02 2024
R-4.4-macOKOct 02 2024
R-4.3-winOKOct 02 2024
R-4.3-macOKOct 02 2024

Exports:compare_distsdifference_distdist_hdrdist_meandist_quantileempirical_bayespower_calcpower_calc_differenceupdate_prior

Dependencies:ashclicolorspacefansifarverFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr