presmTP: Methods for Transition Probabilities

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) <doi:10.1111/biom.12288>. 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) <doi:10.1007/s00180-007-0076-6> in the landmark estimation of the transition probabilities.

Version: 1.1.0
Depends: R (≥ 3.0.0)
Imports: survPresmooth, mgcv
Published: 2019-11-01
Author: Gustavo Soutinho, Luis Meira-Machado and Pedro Oliveira
Maintainer: Gustavo Soutinho <gustavosoutinho at sapo.pt>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: presmTP results

Downloads:

Reference manual: presmTP.pdf
Package source: presmTP_1.1.0.tar.gz
Windows binaries: r-devel: presmTP_1.1.0.zip, r-devel-gcc8: presmTP_1.1.0.zip, r-release: presmTP_1.1.0.zip, r-oldrel: presmTP_1.1.0.zip
OS X binaries: r-release: presmTP_1.1.0.tgz, r-oldrel: presmTP_1.1.0.tgz

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