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-4.5)SLCARE_1.2.0.zip(r-4.4)SLCARE_1.2.0.zip(r-4.3)
SLCARE_1.2.0.tgz(r-4.4-any)SLCARE_1.2.0.tgz(r-4.3-any)
SLCARE_1.2.0.tar.gz(r-4.5-noble)SLCARE_1.2.0.tar.gz(r-4.4-noble)
SLCARE_1.2.0.tgz(r-4.4-emscripten)SLCARE_1.2.0.tgz(r-4.3-emscripten)
SLCARE.pdf |SLCARE.html✨
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
- SimData - Simulated dataset for demonstration
- colorectal - Follow-up of metastatic colorectal cancer patients: times of new lesions appearance and death
Last updated 3 months agofrom:817ac27bdf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 03 2024 |
| R-4.5-win | OK | Sep 03 2024 |
| R-4.5-linux | OK | Sep 03 2024 |
| R-4.4-win | OK | Sep 03 2024 |
| R-4.4-mac | OK | Sep 03 2024 |
| R-4.3-win | OK | Sep 03 2024 |
| R-4.3-mac | OK | Sep 03 2024 |
Exports:SLCARE
Dependencies:BBclicolorspacecpp11dfoptimdirectlabelsdplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnleqslvnlmenloptrnnetnumDerivoptimxpillarpkgconfigpracmapurrrquadprogR6RColorBrewerRcppRcppArmadilloredareRegrlangrootSolvescalesscamsplines2SQUAREMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
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 |