CRAN/E | adjustedCurves

adjustedCurves

Confounder-Adjusted Survival Curves and Cumulative Incidence Functions

Installation

About

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.

Citation adjustedCurves citation info
github.com/RobinDenz1/adjustedCurves
robindenz1.github.io/adjustedCurves/
Bug report File report

Key Metrics

Version 0.11.1
Published 2024-04-10 17 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks adjustedCurves results

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Maintainer

Maintainer

Robin Denz

robin.denz@rub.de

Authors

Robin Denz

aut / cre

Contacts

Material

README
NEWS
Reference manual
Package source

Vignettes

Comparing Adjusted Survival Curves or Cumulative Incidence Curves
FAQ adjustedCurves
An Introduction to the 'adjustedCurves' Package
Overview of methods in adjustedCurves
Customizing Adjusted Survival Curve Plots

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

adjustedCurves archive

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