Package: NMMIPW 0.1.0

NMMIPW: Inverse Probability Weighting under Non-Monotone Missing

We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.

Authors:Andrew Ying [aut, cre], Baoluo Sun [ctb]

NMMIPW_0.1.0.tar.gz
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NMMIPW.pdf |NMMIPW.html✨
NMMIPW/json (API)

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

On CRAN:

Conda:

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

1.00 score 161 downloads 10 exports 16 dependencies

Last updated 3 years agofrom:45d512df4a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-winOKMar 14 2025
R-4.5-macOKMar 14 2025
R-4.5-linuxOKMar 14 2025
R-4.4-winOKMar 14 2025
R-4.4-macOKMar 14 2025
R-4.4-linuxOKMar 14 2025
R-4.3-winOKMar 14 2025
R-4.3-macOKMar 14 2025

Exports:link_funclink_func_gradlink_func_grad_veclink_func_vecnmm_fitnmm_preprocessingprop_computePSregress_fitsummary.NMMIPW

Dependencies:clicodetoolsdigestfuturefuture.applyglobalslatticelavalistenvMatrixnloptrnumDerivparallellyprogressrSQUAREMsurvival