Package: WMAP 1.1.0

Subharup Guha

WMAP: Weighted Meta-Analysis with Pseudo-Populations

Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.

Authors:Subharup Guha [aut, cre], Mengqi Xu [aut], Kashish Priyam [aut], Yi Li [aut]

WMAP_1.1.0.tar.gz
WMAP_1.1.0.tar.gz(r-4.5-noble)WMAP_1.1.0.tar.gz(r-4.4-noble)
WMAP_1.1.0.tgz(r-4.4-emscripten)WMAP_1.1.0.tgz(r-4.3-emscripten)
WMAP.pdf |WMAP.html✨
WMAP/json (API)

# Install 'WMAP' in R:
install.packages('WMAP', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

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

1.30 score 131 downloads 6 exports 81 dependencies

Last updated 4 months agofrom:f7dfd6c876. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-linuxOKMar 30 2025
R-4.4-linuxOKMar 30 2025

Exports:balancing.weightscausal.estimateget_weightsmean_diffpercentESSsigma_ratio

Dependencies:assertthatcaretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforcatsforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgcondpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrzeallot

Citation

To cite package ‘WMAP’ in publications use:

Guha S, Xu M, Priyam K, Li Y (2024). WMAP: Weighted Meta-Analysis with Pseudo-Populations. R package version 1.1.0, https://CRAN.R-project.org/package=WMAP.

Corresponding BibTeX entry: 

  @Manual{,
    title = {WMAP: Weighted Meta-Analysis with Pseudo-Populations},
    author = {Subharup Guha and Mengqi Xu and Kashish Priyam and Yi
      Li},
    year = {2024},
    note = {R package version 1.1.0},
    url = {https://CRAN.R-project.org/package=WMAP},
  }