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 |
| DOI: |
10.32614/CRAN.package.presmTP |
| 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 [issues need fixing before 2025-01-13] |
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