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presmTP  

Methods for Transition Probabilities
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("presmTP", "1.1.0")



Attach the package and use:
library("presmTP")
Maintained by
Gustavo Soutinho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-01
Latest Update: 2019-11-01
Description:
Provides a function for estimating the transition probabilities in an illness-death model. The transition probabilities can be estimated from the unsmoothed landmark estimators developed by de Una-Alvarez and Meira-Machado (2015) . Presmoothed estimates can also be obtained through the use of a parametric family of binary regression curves, such as logit, probit or cauchit. The additive logistic regression model and nonparametric regression are also alternatives which have been implemented. The idea behind the presmoothed landmark estimators is to use the presmoothing techniques developed by Cao et al. (2005) in the landmark estimation of the transition probabilities.
How to cite:
Gustavo Soutinho (2019). presmTP: Methods for Transition Probabilities. R package version 1.1.0, https://cran.r-project.org/web/packages/presmTP. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for presmTP
Functions, R codes and Examples using the presmTP R package
Some associated functions: colonIDM . plot.pstp . presmTP . summary.pstp . 
Some associated R codes: FH.R . NPPKMW.R . pesosKM.R . plot.pstp.R . presmTP.R . summary.pstp.R .  Full presmTP package functions and examples
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