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OptimalTiming  

Optimal Timing Identification
View on CRAN: Click here


Download and install OptimalTiming package within the R console
Install from CRAN:
install.packages("OptimalTiming")

Install from Github:
library("remotes")
install_github("cran/OptimalTiming")

Install by package version:
library("remotes")
install_version("OptimalTiming", "0.1.0")



Attach the package and use:
library("OptimalTiming")
Maintained by
Xiao Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update: 2017-11-14
Description:
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) .
How to cite:
Xiao Lin (2017). OptimalTiming: Optimal Timing Identification. R package version 0.1.0, https://cran.r-project.org/web/packages/OptimalTiming. Accessed 06 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited OptimalTiming R package
View OptimalTiming citation profile
Other R packages that OptimalTiming depends, imports, suggests or enhances
Complete documentation for OptimalTiming
Functions, R codes and Examples using the OptimalTiming R package
Some associated functions: SimCml . conf.MTL . optim.fit . sim.MTL . sim.los . 
Some associated R codes: SimCml.R . conf.MTL.R . optim.fit.R . optimtime-internal.R . sim.MTL.R .  Full OptimalTiming package functions and examples
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