The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [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:

Reference manual: YPBP.pdf

Downloads:

Package source: YPBP_0.0.1.tar.gz
Windows binaries: r-devel: YPBP_0.0.1.zip, r-release: YPBP_0.0.1.zip, r-oldrel: YPBP_0.0.1.zip
macOS binaries: r-release (arm64): YPBP_0.0.1.tgz, r-oldrel (arm64): YPBP_0.0.1.tgz, r-release (x86_64): YPBP_0.0.1.tgz, r-oldrel (x86_64): YPBP_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=YPBP to link to this page.

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.