Package: YPPE 1.0.1

Fabio Demarqui

YPPE: Yang and Prentice Model with Piecewise Exponential Baseline Distribution

Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with piecewise exponential baseline distribution. Details about the model can be found in Demarqui and Mayrink (2019) <arxiv:1910.02406>. Model fitting carried out via likelihood-based and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.

Authors:Fabio Demarqui [aut, cre]

YPPE_1.0.1.tar.gz
YPPE_1.0.1.zip(r-4.7-x86_64)YPPE_1.0.1.zip(r-4.7-arm64)YPPE_1.0.1.zip(r-4.6-x86_64)YPPE_1.0.1.zip(r-4.6-arm64)
YPPE_1.0.1.tar.gz(r-4.7-arm64)YPPE_1.0.1.tar.gz(r-4.7-x86_64)YPPE_1.0.1.tar.gz(r-4.6-arm64)YPPE_1.0.1.tar.gz(r-4.6-x86_64)
YPPE_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
YPPE/json (API)

# Install 'YPPE' in R:
install.packages('YPPE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fndemarqui/yppe/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:

Conda:

onetbbcpp

1.00 score 8 scripts 315 downloads 7 exports 53 dependencies

Last updated from:163866d68e. Checks:8 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE270
linux-devel-x86_64NOTE247
source / vignettesOK314
linux-release-arm64NOTE274
linux-release-x86_64NOTE312
windows-devel-arm64NOTE390
windows-devel-x86_64NOTE291
windows-release-arm64NOTE377
windows-release-x86_64NOTE330
wasm-releaseOK156

Exports:coefconfintcrossTimesurvfittimeGridvcovyppe

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderssurvivaltensorAtibbleutf8vctrsviridisLitewithr