Package: YPBP 0.0.1

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) <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.

Authors:Fabio Demarqui [aut, cre]

YPBP_0.0.1.tar.gz
YPBP_0.0.1.zip(r-4.5)YPBP_0.0.1.zip(r-4.4)YPBP_0.0.1.zip(r-4.3)
YPBP_0.0.1.tgz(r-4.4-x86_64)YPBP_0.0.1.tgz(r-4.4-arm64)YPBP_0.0.1.tgz(r-4.3-x86_64)YPBP_0.0.1.tgz(r-4.3-arm64)
YPBP_0.0.1.tar.gz(r-4.5-noble)YPBP_0.0.1.tar.gz(r-4.4-noble)
YPBP.pdf |YPBP.html✨
YPBP/json (API)

# Install 'YPBP' in R:

install.packages('YPBP', repos = c('https://fndemarqui.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fndemarqui/ypbp/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

gastric - Gastric cancer data set
ipass - IRESSA Pan-Asia Study (IPASS) data set

On CRAN:

2.00 score 10 scripts 124 downloads 3 exports 55 dependencies

Last updated 4 years agofrom:2b517de6a4. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 26 2024
R-4.5-win-x86_64	NOTE	Oct 26 2024
R-4.5-linux-x86_64	NOTE	Oct 26 2024
R-4.4-win-x86_64	NOTE	Oct 26 2024
R-4.4-mac-x86_64	NOTE	Oct 26 2024
R-4.4-mac-aarch64	NOTE	Oct 26 2024
R-4.3-win-x86_64	NOTE	Oct 26 2024
R-4.3-mac-x86_64	NOTE	Oct 26 2024
R-4.3-mac-aarch64	NOTE	Oct 26 2024

Exports:confint crossTime ypbp

Dependencies:abind backports BH callr checkmate cli colorspace desc distributional fansi farver Formula generics ggplot2 glue gridExtra gtable inline isoband labeling lattice lifecycle loo magrittr MASS Matrix matrixStats mgcv munsell nlme numDeriv pillar pkgbuild pkgconfig posterior processx ps QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools scales StanHeaders survival tensorA tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'YPBP' package.	YPBP-package YPBP
Estimated regression coefficients	coef.ypbp
Generic S3 method confint	confint
Confidence intervals for the regression coefficients	confint.ypbp
Generic S3 method crossTime	crossTime
Computes the crossing survival times	crossTime.ypbp
Gastric cancer data set	gastric
IRESSA Pan-Asia Study (IPASS) data set	ipass
Model.matrix method for ypbp models	model.matrix.ypbp
Print the summary.ypbp output	print.summary.ypbp
Summary for the ypbp model	summary.ypbp
survfit method for ypbp models	survfit.ypbp
Variance-covariance matrix for a ypbp model	vcov.ypbp
Fits the Yang and Prentice using Bernstein polynomials to model the baseline distribution.	ypbp {ypbp}