Package: metabup 0.1.3

metabup: Bayesian Meta-Analysis Using Basic Uncertain Pooling

Contains functions that allow Bayesian meta-analysis (1) with binomial data, counts(y) and total counts (n) or, (2) with user-supplied point estimates and associated variances. Case (1) provides an analysis based on the logit transformation of the sample proportion. This methodology is also appropriate for combining data from sample surveys and related sources. The functions can calculate the corresponding similarity matrix. More details can be found in Cahoy and Sedransk (2023), Cahoy and Sedransk (2022) <doi:10.1007/s42519-018-0027-2>, Evans and Sedransk (2001) <doi:10.1093/biomet/88.3.643>, and Malec and Sedransk (1992) <doi:10.1093/biomet/79.3.593>.

Authors:Dexter Cahoy [aut, cre], Joseph Sedransk [aut]

metabup_0.1.3.tar.gz
metabup_0.1.3.zip(r-4.7-any)metabup_0.1.3.zip(r-4.6-any)metabup_0.1.3.zip(r-4.5-any)
metabup_0.1.3.tgz(r-4.6-any)metabup_0.1.3.tgz(r-4.5-any)
metabup_0.1.3.tar.gz(r-4.7-any)metabup_0.1.3.tar.gz(r-4.6-any)
metabup_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
metabup/json (API)

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

Bug tracker:https://github.com/dcahoy/metabup/issues

On CRAN:

Conda:

2.70 score 252 downloads 1 exports 23 dependencies

Last updated from:b1072a380f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK155
linux-releaseOK118
macos-releaseOK82
macos-oldrelOK74
windows-develOK73
windows-releaseOK67
windows-oldrelOK64
wasm-releaseOK116

Exports:metabup

Dependencies:clicpp11farverggplot2gluegmpgtableisobandlabelinglifecyclepartitionspolynomR6rbibutilsRColorBrewerRdpackrlangS7scalessetsvctrsviridisLitewithr