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:
metabup_0.1.3.tar.gz
metabup_0.1.3.zip(r-4.7)metabup_0.1.3.zip(r-4.6)metabup_0.1.3.zip(r-4.5)
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✨
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
Last updated from:b1072a380f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 178 | ||
| linux-release-x86_64 | OK | 114 | ||
| macos-release-arm64 | OK | 79 | ||
| macos-oldrel-arm64 | OK | 75 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 113 | ||
| wasm-release | OK | 100 |
Exports:metabup
Dependencies:clicpp11farverggplot2gluegmpgtableisobandlabelinglifecyclepartitionspolynomR6rbibutilsRColorBrewerRdpackrlangS7scalessetsvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian meta-analysis using basic uncertain pooling. | metabup |
