Package: trajmsm 0.1.3

Awa Diop

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>.

Authors:Awa Diop [aut, cre], Denis Talbot [aut]

trajmsm_0.1.3.tar.gz
trajmsm_0.1.3.zip(r-4.7)trajmsm_0.1.3.zip(r-4.6)trajmsm_0.1.3.zip(r-4.5)
trajmsm_0.1.3.tgz(r-4.6-any)trajmsm_0.1.3.tgz(r-4.5-any)
trajmsm_0.1.3.tar.gz(r-4.7-any)trajmsm_0.1.3.tar.gz(r-4.6-any)
trajmsm_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
trajmsm/json (API)

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

Bug tracker:https://github.com/awamaeva/r-package-trajmsm/issues

On CRAN:

Conda:

g-computationinverse-probability-weightsmarginal-structural-modelstmletrajectory-analysis

3.48 score 6 stars 175 downloads 14 exports 29 dependencies

Last updated from:cf8ddfe1da. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING144
source / vignettesOK141
linux-release-x86_64WARNING171
macos-release-arm64WARNING160
macos-oldrel-arm64WARNING190
windows-develWARNING123
windows-releaseWARNING129
windows-oldrelWARNING97
wasm-releaseOK96

Exports:build_trajgendatagformulaggtrajinverse_probability_weightingpltmlepredict_trajsplit_datatrajhrmsm_gformtrajhrmsm_ipwtrajhrmsm_pltmletrajmsm_gformtrajmsm_ipwtrajmsm_pltmle

Dependencies:classclicpp11e1071farverflexmixggplot2gluegtableisobandlabelinglatticelifecycleMASSMatrixmodeltoolsnnetproxyR6RColorBrewerrlangS7sandwichscalessurvivalvctrsviridisLitewithrzoo