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YPBP: Yang and Prentice Model with Baseline Distribution Modeled by
Bernstein Polynomials
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 
[aut, cre] |
| Maintainer: |
Fabio Demarqui <fndemarqui at est.ufmg.br> |
| 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 |
Documentation:
Downloads:
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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.
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