Package: survrec 2.0.0

Dolors Pelegri-Siso

survrec: Survival Analysis for Recurrent Event Data

Estimation of the survival function of inter-occurrence times for recurrent event data, using the estimators of Peña, Strawderman and Hollander (2001) <doi:10.1198/016214501753381922> and Wang and Chang (1999) <doi:10.1080/01621459.1999.10473831>, and maximum likelihood estimation under a gamma frailty model. Includes bootstrap comparison of survival quantiles between groups.

Authors:Dolors Pelegri-Siso [aut, cre], Juan R. González [aut], Edsel A. Peña [aut], Robert L. Strawderman [aut]

survrec_2.0.0.tar.gz
survrec_2.0.0.zip(r-4.7-x86_64)survrec_2.0.0.zip(r-4.7-arm64)survrec_2.0.0.zip(r-4.6-x86_64)survrec_2.0.0.zip(r-4.6-arm64)survrec_2.0.0.zip(r-4.5-x86_64)
survrec_2.0.0.tgz(r-4.6-x86_64)survrec_2.0.0.tgz(r-4.6-arm64)survrec_2.0.0.tgz(r-4.5-x86_64)survrec_2.0.0.tgz(r-4.5-arm64)
survrec_2.0.0.tar.gz(r-4.7-arm64)survrec_2.0.0.tar.gz(r-4.7-x86_64)survrec_2.0.0.tar.gz(r-4.6-arm64)survrec_2.0.0.tar.gz(r-4.6-x86_64)
survrec_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
survrec/json (API)

# Install 'survrec' in R:

install.packages('survrec', repos = c('https://isglobal-brge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/isglobal-brge/survrec/issues

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

colon - Rehospitalization in colorectal cancer
MMC - Migratory Motor Complex

On CRAN:

cpp openmp

4.22 score 1 stars 11 scripts 623 downloads 19 exports 19 dependencies

Last updated from:bd8196df78. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	111
linux-devel-x86_64	OK	137
source / vignettes	OK	192
linux-release-arm64	OK	252
linux-release-x86_64	OK	135
macos-release-arm64	OK	145
macos-release-x86_64	OK	374
macos-oldrel-arm64	OK	128
macos-oldrel-x86_64	OK	248
windows-devel-arm64	OK	220
windows-devel-x86_64	OK	155
windows-release-arm64	OK	225
windows-release-x86_64	OK	115
windows-oldrel-x86_64	OK	139
wasm-release	OK	107

Exports:autoplot is.Survr mcf mlefrailty_fit mlefrailty.fit plotEstimators psh_fit psh.fit q_search q.search surv_search surv.search survdiffr survfitr Survr survrecThreads theme_survrec wc_fit wc.fit

Dependencies:boot cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp rlang S7 scales vctrs viridisLite withr

survrec: survival analysis for recurrent event data

Rendered fromsurvrec.Rmdusingknitr::rmarkdown

Last update: 2026-08-11
Started: 2026-08-11

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
survrec: Survival Analysis for Recurrent Event Data	survrec-package survrec
Coerce a survfitr object to a data frame	as.data.frame.survfitr
Plot a mean cumulative function	autoplot.mcf
Plot the bootstrap distributions of survival quantiles	autoplot.survdiffr
Plot survival curves with ggplot2	autoplot.survfitr
Rehospitalization in colorectal cancer	colon
Mean cumulative function of recurrent event data	mcf print.mcf
Survival estimator under a gamma frailty model	mlefrailty_fit
Migratory Motor Complex	MMC
Plot survival curves of recurrent event data	lines.survfitr plot.survfitr
Compare the three survival estimators on the same data	plotEstimators
Print a short summary of survival curves for recurrent event data	print.survfitr
Peña-Strawderman-Hollander survival estimator	psh_fit
Survival time of a selected quantile	q_search
Quantiles of the survival time	quantile.survfitr
Summarize a grouped bootstrap of survival quantiles	print.summary.survdiffr summary.survdiffr
Summary of survival curves for recurrent event data	print.summary.survfitr summary.survfitr
Survival estimate at selected times	surv_search
Bootstrap survival quantiles for recurrent event data	survdiffr
Survival curves for recurrent event data	survfitr
Create a survival recurrent object	is.Survr Survr
Number of threads used by survrec	survrecThreads
Plot theme used by the survrec graphics	theme_survrec
Wang-Chang survival estimator	wc_fit