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
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metabup_0.1.3.tgz(r-4.4-any)metabup_0.1.3.tgz(r-4.3-any)
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metabup.pdf |metabup.html
metabup/json (API)

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

Peer review:

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

On CRAN:

1 exports 0.63 score 35 dependencies 201 downloads

Last updated 2 years agofrom:b1072a380f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:metabup

Dependencies:clicolorspacefansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmunsellnlmepartitionspillarpkgconfigpolynomR6rbibutilsRColorBrewerRdpackrlangscalessetstibbleutf8vctrsviridisLitewithr