trajmsm: Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories

Implements marginal structural models combined with a latent class growth analysis framework for assessing the causal effect of treatment trajectories. Based on the approach described in "Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories" Diop, A., Sirois, C., Guertin, J.R., Schnitzer, M.E., Candas, B., Cossette, B., Poirier, P., Brophy, J., Mésidor, M., Blais, C. and Hamel, D., (2023) <doi:10.1177/09622802231202384>.

Version: 0.1.0
Imports: stats, class, e1071, flexmix, geepack, ggplot2, survival, sandwich, utils
Published: 2024-02-14
Author: Awa Diop [aut, cre], Denis Talbot [aut]
Maintainer: Awa Diop <awa.diop.2 at ulaval.ca>
BugReports: https://github.com/awamaeva/R-package-trajmsm/issues
License: GPL (≥ 3)
URL: https://github.com/awamaeva/R-package-trajmsm
NeedsCompilation: no
Materials: README
CRAN checks: trajmsm results

Documentation:

Reference manual: trajmsm.pdf

Downloads:

Package source: trajmsm_0.1.0.tar.gz
Windows binaries: r-devel: trajmsm_0.1.0.zip, r-release: trajmsm_0.1.0.zip, r-oldrel: trajmsm_0.1.0.zip
macOS binaries: r-release (arm64): trajmsm_0.1.0.tgz, r-oldrel (arm64): trajmsm_0.1.0.tgz, r-release (x86_64): trajmsm_0.1.0.tgz

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