Package: publipha 0.1.2

Jonas Moss

publipha: Bayesian Meta-Analysis with Publications Bias and P-Hacking

Tools for Bayesian estimation of meta-analysis models that account for publications bias or p-hacking. For publication bias, this package implements a variant of the p-value based selection model of Hedges (1992) <doi:10.1214/ss/1177011364> with discrete selection probabilities. It also implements the mixture of truncated normals model for p-hacking described in Moss and De Bin (2019) <arxiv:1911.12445>.

Authors:Jonas Moss [aut, cre], Trustees of Columbia University [cph]

publipha_0.1.2.tar.gz
publipha_0.1.2.zip(r-4.7-x86_64)publipha_0.1.2.zip(r-4.7-arm64)publipha_0.1.2.zip(r-4.6-x86_64)publipha_0.1.2.zip(r-4.6-arm64)
publipha_0.1.2.tar.gz(r-4.7-arm64)publipha_0.1.2.tar.gz(r-4.7-x86_64)publipha_0.1.2.tar.gz(r-4.6-arm64)publipha_0.1.2.tar.gz(r-4.6-x86_64)
publipha_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
publipha/json (API)

# Install 'publipha' in R:
install.packages('publipha', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

onetbbcpp

2.18 score 1 packages 3 scripts 296 downloads 23 exports 49 dependencies

Last updated from:934b3c701d. Checks:8 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE291
linux-devel-x86_64NOTE318
source / vignettesOK367
linux-release-arm64NOTE291
linux-release-x86_64NOTE336
windows-devel-arm64NOTE364
windows-devel-x86_64NOTE432
windows-release-arm64NOTE347
windows-release-x86_64NOTE399
wasm-releaseOK230

Exports:allmacmadmpsnormdphnormdpsnormdsnormesnormextract_etaextract_isqextract_tauextract_thetaextract_theta0loomaphmapmpsnormpphnormppsnormpsmarmpsnormrphnormrpsnormrsnorm

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbletruncnormutf8vctrsviridisLitewithr