The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

semicmprskcoxmsm: Use Inverse Probability Weighting to Estimate Treatment Effect for Semi Competing Risks Data

Use inverse probability weighting methods to estimate treatment effect under marginal structure model (MSM) for the transition hazard of semi competing risk data, i.e. illness death model. We implement two specific such models, the usual Markov illness death structural model and the general Markov illness death structural model. We also provide the predicted three risks functions from the marginal structure models. Zhang, Y. and Xu, R. (2022) <doi:10.48550/arXiv.2204.10426>.

Version: 0.2.0
Imports: ggplot2, survival, stats, twang, graphics, fastGHQuad, Rcpp
Suggests: knitr, rmarkdown
Published: 2022-04-29
DOI: 10.32614/CRAN.package.semicmprskcoxmsm
Author: Yiran Zhang
Maintainer: Yiran Zhang <yiz038 at health.ucsd.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: semicmprskcoxmsm results

Documentation:

Reference manual: semicmprskcoxmsm.pdf

Downloads:

Package source: semicmprskcoxmsm_0.2.0.tar.gz
Windows binaries: r-devel: semicmprskcoxmsm_0.2.0.zip, r-release: semicmprskcoxmsm_0.2.0.zip, r-oldrel: semicmprskcoxmsm_0.2.0.zip
macOS binaries: r-release (arm64): semicmprskcoxmsm_0.2.0.tgz, r-oldrel (arm64): semicmprskcoxmsm_0.2.0.tgz, r-release (x86_64): semicmprskcoxmsm_0.2.0.tgz, r-oldrel (x86_64): semicmprskcoxmsm_0.2.0.tgz
Old sources: semicmprskcoxmsm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=semicmprskcoxmsm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.