Package: ipw 1.3.2

Hung Thai Tran

ipw: Estimate Inverse Probability Weights

Functions to estimate the probability to receive the observed treatment, based on individual characteristics. The inverse of these probabilities can be used as weights when estimating causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal studies can be analysed. The same functions can be used to correct for informative censoring.

Authors:Hung Thai Tran [aut, cre], Willem M. van der Wal [aut], Ronald B. Geskus [aut]

ipw_1.3.2.tar.gz
ipw_1.3.2.zip(r-4.7-any)ipw_1.3.2.zip(r-4.6-any)
ipw_1.3.2.tar.gz(r-4.7-any)ipw_1.3.2.tar.gz(r-4.6-any)
ipw_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ipw/json (API)

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

Bug tracker:https://github.com/tranhung93/ipw/issues

Datasets:

On CRAN:

Conda:

4.73 score 270 scripts 1.3k downloads 24 mentions 4 exports 28 dependencies

Last updated from:b82ba7c86a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK132
source / vignettesOK180
linux-releaseOK148
windows-develOK72
windows-releaseOK71
wasm-releaseOK83

Exports:ipwplotipwpointipwtmtstartfun

Dependencies:backportsbroomclicpp11dplyrgeepackgenericsgluelatticelifecyclemagrittrMASSMatrixnnetpillarpkgconfigpurrrR6rlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr