Package: metaplus 1.0-5
Ken Beath
metaplus: Robust Meta-Analysis and Meta-Regression
Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Authors:
metaplus_1.0-5.tar.gz
metaplus_1.0-5.tar.gz(r-4.5-noble)metaplus_1.0-5.tar.gz(r-4.4-noble)
metaplus_1.0-5.tgz(r-4.4-emscripten)metaplus_1.0-5.tgz(r-4.3-emscripten)
metaplus.pdf |metaplus.html✨
metaplus/json (API)
NEWS
| # Install 'metaplus' in R: |
| install.packages('metaplus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:ae84cb33ea. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 02 2024 |
| R-4.5-linux | OK | Dec 02 2024 |
Exports:metaplusoutlierProbssummary.metaplustestOutliers
Dependencies:bbmlebdsmatrixbootcodetoolsdigestdoParalleldoRNGfastGHQuadforeachiteratorslatticelme4MASSmathjaxrMatrixmetadatmetaforminqamvtnormnlmenloptrnumDerivpbapplyRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastrngtools
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fits random effects meta-analysis models including robust models | metaplus-package |
| AIC for metaplus object | AIC.metaplus |
| BIC for metaplus object | BIC.metaplus |
| CDP meta-analysis data | cdp |
| Exercise meta-analysis data | exercise |
| log Likelikelihood for metaplus object | logLik.metaplus |
| Magnesium meta-analysis data | mag |
| Marinho meta-analysis data | marinho |
| Fits random effects meta-analysis models, using either a standard normal distribution, a t-distribution or a mixture of normals for the random effect. | metaplus |
| Calculate outlier probabilities for each study. | outlierProbs outlierProbs.metaplus |
| Produces forest plot for the studies together with the meta-analysis results. | plot.metaplus |
| Plot outlier probabilities. | plot.outlierProbs |
| Summary of a metaplus object. | summary.metaplus |
| Tests for the presence of outliers. | testOutliers testOutliers.metaplus |