Package: SLCARE 1.2.0

Qi Yu

SLCARE: Semiparametric Latent Class Analysis of Recurrent Events

Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.

Authors:Qi Yu [aut, cre], Limin Peng [aut]

SLCARE_1.2.0.tar.gz
SLCARE_1.2.0.zip(r-4.7)SLCARE_1.2.0.zip(r-4.6)SLCARE_1.2.0.zip(r-4.5)
SLCARE_1.2.0.tgz(r-4.6-any)SLCARE_1.2.0.tgz(r-4.5-any)
SLCARE_1.2.0.tar.gz(r-4.7-any)SLCARE_1.2.0.tar.gz(r-4.6-any)
SLCARE_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SLCARE/json (API)
NEWS

# Install 'SLCARE' in R:
install.packages('SLCARE', repos = c('https://qyxxx.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/qyxxx/slcare/issues

Datasets:
  • colorectal - Follow-up of metastatic colorectal cancer patients: times of new lesions appearance and death
  • SimData - Simulated dataset for demonstration

On CRAN:

Conda:

2.70 score 3 scripts 164 downloads 1 exports 53 dependencies

Last updated from:76c6767551. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING166
source / vignettesOK187
linux-release-x86_64WARNING165
macos-release-arm64WARNING121
macos-oldrel-arm64WARNING118
windows-develWARNING110
windows-releaseWARNING109
windows-oldrelWARNING108
wasm-releaseOK124

Exports:SLCARE

Dependencies:BBclicpp11dfoptimdirectlabelsdplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvnleqslvnlmenloptrnnetnumDerivoptimxpillarpkgconfigpracmapurrrquadprogR6RColorBrewerRcppRcppArmadilloredareRegrlangrootSolveS7scalesscamsplines2SQUAREMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr