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:Kengo Nagashima [aut, cre], Hisashi Noma [aut], Toshi A. Furukawa [aut]

pimeta_1.1.4.tar.gz
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pimeta.pdf |pimeta.html
pimeta/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/nshi-stat/pimeta/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • clbp - Rubinstein et al. (2019)'s chronic low back pain data
  • hyp - Hypertension data
  • nfld - Koutoukidis et al. (2019)'s nonalcoholic fatty liver disease data
  • pain - Pain data
  • sbp - Systolic blood pressure (SBP) data
  • setshift - Set-shifting data

On CRAN:

3.75 score 5 scripts 1.1k downloads 13 exports 30 dependencies

Last updated 5 years agofrom:32d743690a. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64WARNINGNov 07 2024
R-4.5-linux-x86_64WARNINGNov 07 2024
R-4.4-win-x86_64WARNINGNov 07 2024
R-4.4-mac-x86_64WARNINGNov 07 2024
R-4.4-mac-aarch64WARNINGNov 07 2024
R-4.3-win-x86_64WARNINGNov 07 2024
R-4.3-mac-x86_64WARNINGNov 07 2024
R-4.3-mac-aarch64WARNINGNov 07 2024

Exports:bootPIcimaconvert_binconvert_meanhtsdlhtsremli2hpimapima_bootpima_htspima_htsremlpwchisqtau2h

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

Introduction to the pimeta package

Rendered frompimeta.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2019-09-17
Started: 2018-09-14