R (>= 4.1.0), emmeans, ggformula, gtsummary, huxtable,
magrittr, stats

Bayesian Meta-Analysis with Publications Bias and P-Hacking
c(
person("Jonas", "Moss", , "jonas.gjertsen@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-6876-6964")
),
person("Trustees of Columbia University", role = "cph"))
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>.
rstan (>= 2.18.1), rstantools (>= 1.5.1), loo, truncnorm
testthat (>= 2.1.0), covr, knitr, rmarkdown, metafor, qtl,
spelling
'data-anderson2010.R' 'data-baskerville2012.R'
'data-cuddy2018.R' 'data-dang2018.R' 'data-motyl2017.R'
'densities-helpers.R' 'densities-mpsnorm.R'
'densities-phnorm.R' 'densities-psnorm.R' 'densities-snorm.R'
'ma.R' 'generics.R' 'publipha-package.R' 'stanmodels.R'
'tools.R' 'utility.R' 'zzz.R'
Jonas Moss [aut, cre] (<https://orcid.org/0000-0002-6876-6964>),
Trustees of Columbia University [cph]

Jyoti Sharma, S. Ramachandran, Ab Rauf Shah
An R package for text mining of PubMed Abstracts (http://www.ncbi.nlm.nih.gov/pubmed). The algorithms are designed for two formats (text and XML) from PubMed
'Abstracts-class.R' 'HGNC-class.R' 'Yearwise.R' 'Genewise.R'
'R2S4.R' 'combineabs.R' 'gene_atomization.R'
'Find_conclusion.R' 'getabs.R' 'getabsT.R' 'gethgnc.R'
'ready.R' 'readabs.R' 'removeabs.R' 'searchabsL.R'
'searchabsT.R' 'sendabs.R' 'subabs.R' 'cleanabs.R'
'word_atomizations.R' 'SentenceToken.R' 'contextSearch.R'
'uniprotfun.R' 'Pathway_Link.R' 'Pathway_Info.R'
'tdm_for_lsa.R' 'printabs.R' 'cos_sim_calc.R'
'cos_sim_calc_boot.R' 'wordscluster.R' 'whichcluster.R'
'wordsclusterview.R' 'find_intro_conc_html.R' 'cluster_words.R'
'get_original_term.R' 'input_for_find_intro_conc_html.R'
'xmlreadabs.R' 'xmlword_atomizations.R'
'xmlgene_atomizations.R'