doi:10.48550/arXiv.1910.04475>. Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.">

YPBP: Yang and Prentice Model with Baseline Distribution Modeled by Bernstein Polynomials (original) (raw)

Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui et al. (2019) <doi:10.48550/arXiv.1910.04475>. Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.

Version: 0.0.1
Depends: R (≥ 3.4.0), survival
Imports: Formula, MASS, methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, testthat
Published: 2020-06-29
DOI: 10.32614/CRAN.package.YPBP
Author: Fabio Demarqui ORCID iD [aut, cre]
Maintainer: Fabio Demarqui
BugReports: https://github.com/fndemarqui/YPBP/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/fndemarqui/YPBP
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: YPBP citation info
CRAN checks: YPBP results

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