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
NMMIPW_0.1.0.zip(r-4.7)NMMIPW_0.1.0.zip(r-4.6)NMMIPW_0.1.0.zip(r-4.5)
NMMIPW_0.1.0.tgz(r-4.6-any)NMMIPW_0.1.0.tgz(r-4.5-any)
NMMIPW_0.1.0.tar.gz(r-4.7-any)NMMIPW_0.1.0.tar.gz(r-4.6-any)
NMMIPW_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 175 downloads 10 exports 16 dependencies

Last updated from:45d512df4a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK151
linux-release-x86_64OK129
macos-release-arm64OK121
macos-oldrel-arm64OK88
windows-develOK115
windows-releaseOK96
windows-oldrelOK88
wasm-releaseOK95

Exports:link_funclink_func_gradlink_func_grad_veclink_func_vecnmm_fitnmm_preprocessingprop_computePSregress_fitsummary.NMMIPW

Dependencies:clicodetoolsdigestfuturefuture.applyglobalslatticelavalistenvMatrixnloptrnumDerivparallellyprogressrSQUAREMsurvival