trajmsm0.1.5 package

Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories

gformula

Counterfactual means via G-Formula

build_traj

Wrapper for flexmix

gendata

Generate data trajectories for MSM

ggtraj

ggplot Trajectory

inverse_probability_weighting

Inverse Probability Weighting

pltmle

Counterfactual means for a Pooled LTMLE

predict_traj

Predict trajectory groups for deterministic treatment regimes

split_data

Split observed data into multiple subsets

trajhrmsm_gform

History Restricted MSM and Latent Class of Growth Analysis estimated w...

trajhrmsm_ipw

History Restricted MSM and Latent Class of Growth Analysis estimated w...

trajhrmsm_pltmle

History Restricted MSM and Latent Class of Growth Analysis estimated w...

trajmsm_gform

Parametric g-formula

trajmsm_ipw

Marginal Structural Model and Latent Class of Growth Analysis estimate...

trajmsm_pltmle

Pooled LTMLE

Download source packageRead PDF manual

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>.

  • Maintainer: Awa Diop
  • License: GPL (>= 3)
  • Last published: 2025-11-11

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