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:
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
- colorectal - Follow-up of metastatic colorectal cancer patients: times of new lesions appearance and death
- SimData - Simulated dataset for demonstration
Last updated from:76c6767551. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 166 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | WARNING | 165 | ||
| macos-release-arm64 | WARNING | 121 | ||
| macos-oldrel-arm64 | WARNING | 118 | ||
| windows-devel | WARNING | 110 | ||
| windows-release | WARNING | 109 | ||
| windows-oldrel | WARNING | 108 | ||
| wasm-release | OK | 124 |
Exports:SLCARE
Dependencies:BBclicpp11dfoptimdirectlabelsdplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvnleqslvnlmenloptrnnetnumDerivoptimxpillarpkgconfigpracmapurrrquadprogR6RColorBrewerRcppRcppArmadilloredareRegrlangrootSolveS7scalesscamsplines2SQUAREMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Follow-up of metastatic colorectal cancer patients: times of new lesions appearance and death | colorectal |
| Produce Plots for SLCARE | plot.SLCARE |
| Predict Results for SLCARE | predict.SLCARE |
| Print Results for SLCARE | print.SLCARE |
| Simulated dataset for demonstration | SimData |
| Semiparametric Latent Class Analysis for Recurrent Event | SLCARE |
| Summary Results for SLCARE | summary.SLCARE |