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 <xlin3@mdanderson.org>, Xuelin Huang<xlhuang@mdanderson.org>

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 = 'https://cloud.r-project.org')
Datasets:
  • SimCml - Simulated data for CML patients

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 156 downloads 3 exports 8 dependencies

Last updated 7 years agofrom:7a18e892c0. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linuxOKMar 07 2025
R-4.4-linuxOKMar 07 2025

Exports:conf.MTLoptim.fitsim.MTL

Dependencies:data.tablelatticeMatrixmstateRColorBrewerrlangsurvivalviridisLite

Citation

To cite package ‘OptimalTiming’ in publications use:

Lin X, Huang X (2017). OptimalTiming: Optimal Timing Identification. R package version 0.1.0, https://CRAN.R-project.org/package=OptimalTiming.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {OptimalTiming: Optimal Timing Identification},
    author = {Xiao Lin and Xuelin Huang},
    year = {2017},
    note = {R package version 0.1.0},
    url = {https://CRAN.R-project.org/package=OptimalTiming},
  }