Package: cureAssess 0.1.0

cureAssess: Assessing Cure Model Appropriateness for Survival Data

Assesses whether cure models are appropriate for right-censored survival data, where a fraction of subjects may never experience the event of interest. Implements a two-stage workflow combining Kaplan-Meier visualization and comparison of parametric cure and non-cure models by the Akaike information criterion with formal diagnostics for sufficient follow-up and for the presence of a cured fraction. The diagnostics include the statistics of Maller and Zhou (1992) <doi:10.1093/biomet/79.4.731> and Maller and Zhou (1994) <doi:10.1080/01621459.1994.10476889>, the test of Shen (2000) <doi:10.1016/S0167-7152(00)00063-8>, and the ratio estimation of censored uncured subjects ('RECeUS') method of Selukar and Othus (2023) <doi:10.1002/sim.9610>.

Authors:Geethanjalee Mudunkotuwa [aut, cre, cph], Durbadal Ghosh [aut]

cureAssess_0.1.0.tar.gz
cureAssess_0.1.0.zip(r-4.7-any)cureAssess_0.1.0.zip(r-4.6-any)cureAssess_0.1.0.zip(r-4.5-any)
cureAssess_0.1.0.tgz(r-4.6-any)cureAssess_0.1.0.tgz(r-4.5-any)
cureAssess_0.1.0.tar.gz(r-4.7-any)cureAssess_0.1.0.tar.gz(r-4.6-any)
cureAssess_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cureAssess/json (API)

# Install 'cureAssess' in R:

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

Bug tracker:https://github.com/geethanjaleem/cureassess/issues

On CRAN:

4.22 score 11 scripts 465 downloads 9 exports 104 dependencies

Last updated from:1d37cf0148. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	135
source / vignettes	OK	250
linux-release	OK	147
macos-release	OK	167
macos-oldrel	OK	229
windows-devel	OK	96
windows-release	OK	108
windows-oldrel	OK	93
wasm-release	OK	121

Exports:cure.appropriateness immune.test model.fitting mz.test prepare.surv.data qn.test receus.method run.cure.tests shen.test

Dependencies:abind assertthat backports bbmle bdsmatrix boot broom car carData cli colorspace commonmark corrplot cowplot cpp11 curl data.table Deriv deSolve doBy dplyr exactRankTests farver fastGHQuad flexsurv flexsurvcure forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue gridExtra gridtext gtable isoband jpeg labeling lattice lifecycle litedown lme4 lmtest lsoda magrittr markdown MASS Matrix MatrixModels maxstat mgcv minqa modelr mstate muhaz mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig png polynom purrr quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rstatix rstpm2 S7 scales SparseM statmod stringi stringr survival survminer tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr xfun xml2 zoo

Introduction to cureAssess

Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2026-08-25
Started: 2026-08-13

Help page	Topics
Assess cure model appropriateness in two stages	cure.appropriateness
Compute immune-related summary quantities	immune.test
Fit candidate cure and non-cure survival models	model.fitting
Compute the Maller-Zhou test statistic	mz.test
Plot a fitted cure model object	plot.cure.model.fit
Prepare survival data for cure model assessment	prepare.surv.data
Print cure model appropriateness analysis results	print.cure.appropriateness
Print a fitted cure model object	print.cure.model.fit
Print cure model test results	print.cure.test.result
Print immune test results	print.immune.test.result
Print RECeUS cure model assessment results	print.receus.output
Print a summary of cure model appropriateness results	print.summary.cure.appropriateness
Compute the qn statistic	qn.test
Compute RECeUS cure model diagnostic outputs	receus.method
Run cure model appropriateness diagnostics	run.cure.tests
Compute Shen's test statistic	shen.test
Summarize cure model appropriateness results	summary.cure.appropriateness
Summarize a fitted cure model object	summary.cure.model.fit

Package: cureAssess 0.1.0

cureAssess: Assessing Cure Model Appropriateness for Survival Data

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