CRAN/E | riskRegression

riskRegression

Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Installation

About

Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.

Citation riskRegression citation info
github.com/tagteam/riskRegression
Bug report File report

Key Metrics

Version 2023.12.21
R ≥ 3.5.0
Published 2023-12-19 101 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks riskRegression results

Downloads

Yesterday 383 0%
Last 7 days 1.673 -33%
Last 30 days 8.868 -3%
Last 90 days 30.710 -2%
Last 365 days 112.422 +16%

Maintainer

Maintainer

Thomas Alexander Gerds

tag@biostat.ku.dk

Authors

Thomas Alexander Gerds

aut / cre

Johan Sebastian Ohlendorff

aut

Paul Blanche

ctb

Rikke Mortensen

ctb

Marvin Wright

ctb

Nikolaj Tollenaar

ctb

John Muschelli

ctb

Ulla Brasch Mogensen

ctb

Brice Ozenne

aut

Material

README
NEWS
Reference manual
Package source

In Views

CausalInference
Survival

Vignettes

IPA: Index of Prediction Accuracy

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

riskRegression archive

Depends

R ≥ 3.5.0

Imports

cmprsk
data.table ≥ 1.12.2
doParallel
foreach
ggplot2 ≥ 3.1.0
graphics
lattice
lava ≥ 1.6.5
mets
mvtnorm
parallel
plotrix
prodlim ≥ 2018.4.18
Publish
ranger
Rcpp
rms ≥ 5.1.3
stats
survival ≥ 2.44.1
timereg ≥1.9.3

Suggests

boot
smcfcs
casebase
glmnet
gbm
flexsurv
grpreg
hal9001
mgcv
mstate
nnls
numDeriv
party
pec
penalized
pROC
randomForest
randomForestSRC
rpart
scam
SuperLearner
testthat
R.rsp

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

BuyseTest
contsurvplot
CSCNet
Landmarking
pcoxtime
pec
pencal
psbcSpeedUp
wally

Reverse Suggests

adjustedCurves
lavaSearch2
Publish