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presmTP is an R package which can be used tois an R
package which can be used to provide 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.
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.