Package: semicmprskcoxmsm 0.2.0
Yiran Zhang
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) <arxiv:2204.10426>.
Authors:
semicmprskcoxmsm_0.2.0.tar.gz
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semicmprskcoxmsm/json (API)
# Install 'semicmprskcoxmsm' in R: |
install.packages('semicmprskcoxmsm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:b2f2ea38dd. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 13 2024 |
R-4.5-linux | OK | Dec 13 2024 |
Exports:cif_est_usualdoPSem_illness_death_phmm_weightget_hazardget_hazard_offset_weightsinitial_fit_em_weightsinitial_lambda_emOUT_em_weightsplot.PSsim_cox_msm_semicmrskusual_illness_death_weightvar_em_illness_death_phmm
Dependencies:clicolorspacedata.tableDBIdeldirfansifarverfastGHQuadgbmggplot2gluegtableinterpisobandjpegjsonlitelabelinglatticelatticeExtralifecyclemagrittrMASSMatrixMatrixModelsmgcvminqamitoolsmunsellnlmenumDerivpillarpkgconfigpngR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalessurveysurvivaltibbletwangutf8vctrsviridisLitewithrxgboostxtable