Package: adjustedCurves
Title: Confounder-Adjusted Survival Curves and Cumulative Incidence
        Functions
Version: 0.9.1
Authors@R: 
    person("Robin", "Denz", , "robin.denz@rub.de", role = c("aut", "cre"))
Maintainer: Robin Denz <robin.denz@rub.de>
Description: 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' and '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 (2022) <arXiv:2203.10002v1>.
License: GPL (>= 3)
URL: https://github.com/RobinDenz1/adjustedCurves,
        https://robindenz1.github.io/adjustedCurves/
BugReports: https://github.com/RobinDenz1/adjustedCurves/issues
Imports: R.utils, doParallel, doRNG, dplyr (>= 1.0.0), foreach, rlang
Suggests: MASS, Matching (>= 4.9), R6, SuperLearner (>= 2.0.0),
        WeightIt (>= 0.11.0), cmprsk (>= 2.2), eventglm (>= 1.1.1),
        geepack (>= 1.3), ggplot2 (>= 3.0.0), knitr, mice (>= 3.0.0),
        nnet, pammtools (>= 0.5), pec (>= 2020.11.17), prodlim (>=
        2019.11.13), riskRegression (>= 2020.12.08), rmarkdown,
        survival (>= 3.0.0), survtmle (>= 1.1), testthat (>= 3.0.0),
        tidyr, ggpp (>= 0.4.3), vdiffr (>= 1.0.0), covr
VignetteBuilder: knitr
Config/testthat/edition: 3
Contact: <robin.denz@rub.de>
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2022-11-22 14:32:16 UTC; Robin Denz
Author: Robin Denz [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-22 15:00:05 UTC
