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-any)trajmsm_0.1.3.zip(r-4.6-any)trajmsm_0.1.3.zip(r-4.5-any)
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✨
DESCRIPTION
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 243 downloads 14 exports 28 dependencies

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

TargetResultTimeFilesSyslog
linux-develWARNING139
source / vignettesOK139
linux-releaseWARNING125
macos-releaseWARNING206
macos-oldrelWARNING189
windows-develWARNING104
windows-releaseWARNING106
windows-oldrelWARNING101
wasm-releaseOK90

Exports:build_trajgendatagformulaggtrajinverse_probability_weightingpltmlepredict_trajsplit_datatrajhrmsm_gformtrajhrmsm_ipwtrajhrmsm_pltmletrajmsm_gformtrajmsm_ipwtrajmsm_pltmle

Dependencies:classclicpp11e1071farverflexmixggplot2gluegtableisobandlabelinglatticelifecycleMatrixmodeltoolsnnetproxyR6RColorBrewerrlangS7sandwichscalessurvivalvctrsviridisLitewithrzoo