Package: pseudoCure 1.1.0

pseudoCure: A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction

A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) <doi:10.1177/09622802221108579>. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.

Authors:Sy Han Chiou [aut, cre], Chien-Lin Su [aut], Feng-Chang Lin [aut]

pseudoCure_1.1.0.tar.gz
pseudoCure_1.1.0.zip(r-4.7-x86_64)pseudoCure_1.1.0.zip(r-4.7-arm64)pseudoCure_1.1.0.zip(r-4.6-x86_64)pseudoCure_1.1.0.zip(r-4.6-arm64)pseudoCure_1.1.0.zip(r-4.5-x86_64)
pseudoCure_1.1.0.tgz(r-4.6-x86_64)pseudoCure_1.1.0.tgz(r-4.6-arm64)pseudoCure_1.1.0.tgz(r-4.5-x86_64)pseudoCure_1.1.0.tgz(r-4.5-arm64)
pseudoCure_1.1.0.tar.gz(r-4.7-arm64)pseudoCure_1.1.0.tar.gz(r-4.7-x86_64)pseudoCure_1.1.0.tar.gz(r-4.6-arm64)pseudoCure_1.1.0.tar.gz(r-4.6-x86_64)
pseudoCure_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pseudoCure/json (API)

# Install 'pseudoCure' in R:

install.packages('pseudoCure', repos = c('https://stc04003.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stc04003/pseudocure/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

Teeth500 - Dental data for illustration

On CRAN:

openblas cpp

3.30 score 4 scripts 209 downloads 5 exports 76 dependencies

Last updated from:b879cf4be8. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	182
linux-devel-x86_64	OK	181
source / vignettes	OK	165
linux-release-arm64	OK	149
linux-release-x86_64	OK	161
macos-release-arm64	OK	146
macos-release-x86_64	OK	195
macos-oldrel-arm64	OK	99
macos-oldrel-x86_64	OK	202
windows-devel-arm64	OK	261
windows-devel-x86_64	OK	195
windows-release-arm64	OK	226
windows-release-x86_64	OK	105
windows-oldrel-x86_64	OK	104
wasm-release	OK	125

Exports:geelm km mzTest pCure pCure.control

Dependencies:abind backports boot broom car carData cli colorspace corrplot cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rstatix S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
pseudoCure: A pseudo-observations approach for analyzing survival data with a cure fraction	pseudoCure-package pseudoCure-packages pseudoCure
Generalized Estimating Equation with Gaussian family	geelm
Kaplan-Meier estimate	km
Maller-Zhou test	mzTest
Cure Rate Model with pseudo-observation approach	pCure
Package options for pseudoCure	pCure.control
Plot method for 'geelm' objects	plot.geelm
Plot method for 'pCure' objects	plot.pCure
Dental data for illustration	Teeth500