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-4.7-x86_64)YPBP_0.0.1.zip(r-4.7-arm64)YPBP_0.0.1.zip(r-4.6-x86_64)YPBP_0.0.1.zip(r-4.6-arm64)YPBP_0.0.1.zip(r-4.5-x86_64)
YPBP_0.0.1.tgz(r-4.6-x86_64)YPBP_0.0.1.tgz(r-4.6-arm64)YPBP_0.0.1.tgz(r-4.5-x86_64)YPBP_0.0.1.tgz(r-4.5-arm64)
YPBP_0.0.1.tar.gz(r-4.7-arm64)YPBP_0.0.1.tar.gz(r-4.7-x86_64)YPBP_0.0.1.tar.gz(r-4.6-arm64)YPBP_0.0.1.tar.gz(r-4.6-x86_64)
YPBP_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

onetbb– Parallelism library for C++
c++– GNU Standard C++ Library v3

Datasets:

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

On CRAN:

onetbb cpp

2.26 score 18 scripts 298 downloads 3 exports 53 dependencies

Last updated from:2b517de6a4. Checks:13 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	241
linux-devel-x86_64	NOTE	244
source / vignettes	OK	274
linux-release-arm64	NOTE	242
linux-release-x86_64	NOTE	301
macos-release-arm64	NOTE	287
macos-release-x86_64	NOTE	663
macos-oldrel-arm64	NOTE	293
macos-oldrel-x86_64	NOTE	483
windows-devel-arm64	NOTE	357
windows-devel-x86_64	NOTE	324
windows-release-arm64	NOTE	336
windows-release-x86_64	NOTE	330
windows-oldrel-x86_64	NOTE	333
wasm-release	OK	184

Exports:confint crossTime ypbp

Dependencies:abind backports BH callr checkmate cli cpp11 desc distributional farver Formula generics ggplot2 glue gridExtra gtable inline isoband labeling lattice lifecycle loo magrittr MASS Matrix matrixStats numDeriv otel pillar pkgbuild pkgconfig posterior processx ps QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools S7 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}