Package: OptimalTiming 0.1.0
Xiao Lin
OptimalTiming: Optimal Timing Identification
Identify the optimal timing for new treatment initiation during multiple state disease transition, including multistate model fitting, simulation of mean residual lifetime for a given transition state, and estimation of confidence interval. The method is referred to de Wreede, L., Fiocco, M., & Putter, H. (2011) <doi:10.18637/jss.v038.i07>.
Authors:
OptimalTiming_0.1.0.tar.gz
OptimalTiming_0.1.0.tar.gz(r-4.5-noble)OptimalTiming_0.1.0.tar.gz(r-4.4-noble)
OptimalTiming_0.1.0.tgz(r-4.4-emscripten)OptimalTiming_0.1.0.tgz(r-4.3-emscripten)
OptimalTiming.pdf |OptimalTiming.html✨
OptimalTiming/json (API)
| # Install 'OptimalTiming' in R: |
| install.packages('OptimalTiming', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- SimCml - Simulated data for CML patients
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:7a18e892c0. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-linux | OK | Nov 07 2024 |
Exports:conf.MTLoptim.fitsim.MTL
Dependencies:data.tablelatticeMatrixmstateRColorBrewerrlangsurvivalviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence interval of mean total lifetime | conf.MTL |
| Fit multi-state model for optimization | optim.fit |
| Simulate mean total lifetime | sim.MTL |
| Simulated data for CML patients | SimCml |