DESCRIPTION

Package: adjustedCurves
Title: Confounder-Adjusted Survival Curves and Cumulative Incidence
    Functions
Version: 0.11.2.9000
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' 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>.
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,
	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)
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Contact: <robin.denz@rub.de>
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1