Package: cdgd 0.3.5

cdgd: Causal Decomposition of Group Disparities

The framework of causal decomposition of group disparities developed by Yu and Elwert (2023) <doi:10.48550/arXiv.2306.16591>. This package implements the decomposition estimators that are based on efficient influence functions. For the nuisance functions of the estimators, both parametric and nonparametric options are provided, as well as manual options in case the default models are not satisfying.

Authors:Ang Yu [aut, cre, cph]

cdgd_0.3.5.tar.gz
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cdgd_0.3.5.tgz(r-4.4-any)cdgd_0.3.5.tgz(r-4.3-any)
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cdgd.pdf |cdgd.html
cdgd/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/ang-yu/cdgd/issues

Datasets:

On CRAN:

3.60 score 3 scripts 206 downloads 6 exports 75 dependencies

Last updated 4 months agofrom:5be1bf7abb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:cdgd0_manualcdgd0_mlcdgd0_pacdgd1_manualcdgd1_mlcdgd1_pa

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr