Package: pimeta 1.1.4
pimeta: Prediction Intervals for Random-Effects Meta-Analysis
An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) <doi:10.1111/j.1467-985X.2008.00552.x>, Partlett and Riley (2017) <doi:10.1002/sim.7140>, and Nagashima et al. (2019) <doi:10.1177/0962280218773520>, <arxiv:1804.01054>.
Authors:
pimeta_1.1.4.tar.gz
pimeta_1.1.4.zip(r-4.7)pimeta_1.1.4.zip(r-4.6)pimeta_1.1.4.zip(r-4.5)
pimeta_1.1.4.tgz(r-4.6-x86_64)pimeta_1.1.4.tgz(r-4.6-arm64)pimeta_1.1.4.tgz(r-4.5-x86_64)pimeta_1.1.4.tgz(r-4.5-arm64)
pimeta_1.1.4.tar.gz(r-4.7-arm64)pimeta_1.1.4.tar.gz(r-4.7-x86_64)pimeta_1.1.4.tar.gz(r-4.6-arm64)pimeta_1.1.4.tar.gz(r-4.6-x86_64)
pimeta_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pimeta/json (API)
NEWS
| # Install 'pimeta' in R: |
| install.packages('pimeta', repos = c('https://nshi-stat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nshi-stat/pimeta/issues
Pkgdown/docs site:https://nshi-stat.github.io
Last updated from:82f150b60c. Checks:11 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 129 | ||
| linux-devel-x86_64 | WARNING | 126 | ||
| source / vignettes | OK | 223 | ||
| linux-release-arm64 | WARNING | 132 | ||
| linux-release-x86_64 | WARNING | 129 | ||
| macos-release-arm64 | WARNING | 117 | ||
| macos-release-x86_64 | WARNING | 201 | ||
| macos-oldrel-arm64 | WARNING | 151 | ||
| macos-oldrel-x86_64 | WARNING | 281 | ||
| windows-devel | WARNING | 128 | ||
| windows-release | WARNING | 117 | ||
| windows-oldrel | WARNING | 132 | ||
| wasm-release | OK | 123 |
Exports:bootPIcimaconvert_binconvert_meanhtsdlhtsremli2hpimapima_bootpima_htspima_htsremlpwchisqtau2h
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppEigenrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prediction Intervals for Random-Effects Meta-Analysis | pimeta-package |
| Calculating Confidence Intervals | cima |
| Rubinstein et al. (2019)'s chronic low back pain data | clbp |
| Converting binary data | convert_bin |
| Converting means and standard deviations | convert_mean |
| Funnel Plot | funnel |
| Hypertension data | hyp |
| I^2 heterogeneity measure | i2h |
| Koutoukidis et al. (2019)'s nonalcoholic fatty liver disease data | nfld |
| Pain data | pain |
| Calculating Prediction Intervals | bootPI htsdl htsreml pima pima_boot pima_hts pima_htsreml |
| Plot Results | plot.cima |
| Plot Results | plot.pima |
| Print Results | print.cima |
| Print Results | print.pima |
| Print Results | print.pima_tau2h |
| The Distribution of a Positive Linear Combination of Chiqaure Random Variables | pwchisq |
| Systolic blood pressure (SBP) data | sbp |
| Set-shifting data | setshift |
| Calculating Heterogeneity Variance | tau2h |
