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:Xiao Lin <[email protected]>, Xuelin Huang<[email protected]>

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'))

Peer review:

Datasets:
  • 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.

1.04 score 11 scripts 119 downloads 3 exports 8 dependencies

Last updated 7 years agofrom:7a18e892c0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linuxOKDec 07 2024

Exports:conf.MTLoptim.fitsim.MTL

Dependencies:data.tablelatticeMatrixmstateRColorBrewerrlangsurvivalviridisLite