Package: pimeta 1.1.3

Kengo Nagashima

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_1.1.3.tar.gz
pimeta_1.1.3.tar.gz(r-4.5-noble)pimeta_1.1.3.tar.gz(r-4.4-noble)
pimeta_1.1.3.tgz(r-4.4-emscripten)pimeta_1.1.3.tgz(r-4.3-emscripten)
pimeta.pdf |pimeta.html✨
pimeta/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • hyp - Hypertension data
  • pain - Pain data
  • sbp - Systolic blood pressure (SBP) data
  • setshift - Set-shifting data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

2.70 score 5 scripts 895 downloads 12 exports 30 dependencies

Last updated 5 years agofrom:af9399ac25. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linux-x86_64NOTEDec 17 2024

Exports:bootPIcimaconvert_binhtsdlhtsremli2hpimapima_bootpima_htspima_htsremlpwchisqtau2h

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

Introduction to the pimeta package

Kengo Nagashima

Rendered frompimeta.Rmdusingknitr::rmarkdownon Dec 17 2024.

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