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]

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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'))

Peer review:

On CRAN:

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

10 exports 0.00 score 16 dependencies 222 downloads

Last updated 3 years agofrom:45d512df4a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:link_funclink_func_gradlink_func_grad_veclink_func_vecnmm_fitnmm_preprocessingprop_computePSregress_fitsummary.NMMIPW

Dependencies:clicodetoolsdigestfuturefuture.applyglobalslatticelavalistenvMatrixnloptrnumDerivparallellyprogressrSQUAREMsurvival