Confounder-Adjusted Survival Curves and Cumulative Incidence Functions R package adjustedCurves version 0.11.4 Estimate and plot confounder-adjusted survival curves using either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values', various forms of 'Inverse Probability of Treatment Weighting', two forms of 'Augmented Inverse Probability of Treatment Weighting', 'Empirical Likelihood Estimation' or 'Targeted Maximum Likelihood Estimation'. Also includes a significance test for the difference between two adjusted survival curves and the calculation of adjusted restricted mean survival times. Additionally enables the user to estimate and plot cause-specific confounder-adjusted cumulative incidence functions in the competing risks setting using the same methods (with some exceptions). For details, see Denz et. al (2023) <doi:10.1002/sim.9681>. Software Imports: R.utils, doParallel, doRNG, dplyr (>= 1.0.0), foreach, rlang, survival (>= 3.0.0) Suggests: MASS, Matching (>= 4.9), WeightIt (>= 0.11.0), cmprsk (>= 2.2), eventglm (>= 1.1.1), geepack (>= 1.3), ggplot2 (>= 3.4.0), knitr, mice (>= 3.0.0), nnet, pammtools (>= 0.5), pec (>= 2020.11.17), prodlim (>= 2019.11.13), riskRegression (>= 2020.12.08), rmarkdown, testthat (>= 3.2.1), tidyr, ggpp (>= 0.4.3), vdiffr (>= 1.0.7), covr, data.table, numDeriv, cowplot (>= 1.1.3) Robin Denz <robin.denz@rub.de> Comprehensive R Archive Network (CRAN) Robin Denz [aut, cre] GPL (>= 3) 2026-02-05 application/tgz https://CRAN.R-project.org/package=adjustedCurves doi:10.32614/CRAN.package.adjustedCurves