Package: presmTP 1.1.0

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.

Authors:Gustavo Soutinho, Luis Meira-Machado and Pedro Oliveira

presmTP_1.1.0.tar.gz
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presmTP_1.1.0.tgz(r-4.4-any)presmTP_1.1.0.tgz(r-4.3-any)
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presmTP.pdf |presmTP.html
presmTP/json (API)

# Install 'presmTP' in R:
install.packages('presmTP', repos = c('https://gsoutinho.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • colonIDM - Chemotherapy for Stage B/C colon cancer.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 92 downloads 3 exports 5 dependencies

Last updated 5 years agofrom:0de5d71593. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:plot.pstppresmTPsummary.pstp

Dependencies:latticeMatrixmgcvnlmesurvPresmooth