Package: spsurv 1.0.2

spsurv: Bernstein Polynomial Based Semiparametric Survival Analysis

Semiparametric survival analysis based on Bernstein polynomials. 'spsurv' includes proportional hazards, proportional odds and accelerated failure time frameworks for right-censored data. RV Panaro (2020) <arxiv:2003.10548>.

Authors:Renato Panaro [aut, cre, cph], Fábio Demarqui [ctb, ths], Vinicius Mayrink [ths]

spsurv_1.0.2.tar.gz
spsurv_1.0.2.zip(r-4.7)spsurv_1.0.2.zip(r-4.6)spsurv_1.0.2.zip(r-4.5)
spsurv_1.0.2.tgz(r-4.6-x86_64)spsurv_1.0.2.tgz(r-4.6-arm64)spsurv_1.0.2.tgz(r-4.5-x86_64)spsurv_1.0.2.tgz(r-4.5-arm64)
spsurv_1.0.2.tar.gz(r-4.7-arm64)spsurv_1.0.2.tar.gz(r-4.7-x86_64)spsurv_1.0.2.tar.gz(r-4.6-arm64)spsurv_1.0.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spsurv/json (API)

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

Bug tracker:https://github.com/rvpanaro/spsurv/issues

Pkgdown/docs site:https://rvpanaro.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bernstein-polynomialrstansurvival-analysissurvival-regressioncpp

4.09 score 4 stars 31 scripts 120 downloads 7 exports 55 dependencies

Last updated from:476e32cc1f. Checks:11 ERROR, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR294
linux-devel-x86_64ERROR326
source / vignettesOK316
linux-release-arm64ERROR278
linux-release-x86_64ERROR330
macos-release-arm64ERROR188
macos-release-x86_64ERROR567
macos-oldrel-arm64ERROR266
macos-oldrel-x86_64ERROR878
windows-develERROR351
windows-releaseERROR329
windows-oldrelERROR368
wasm-releaseFAIL212

Exports:bp.basisbpaftbpphbppocredintpw.basisspbp

Dependencies:abindbackportsBHcallrcheckmateclicodacpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmnormtnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderssurvivaltensorAtibbleutf8vctrsviridisviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
The 'spsurv' package.spsurv-package spsurv
Bernstein basis polynomials calculationsbp.basis
Bernstein Polynomial Based Accelerated Failure Time Modelbpaft
Bernstein Polynomial Based Proportional Hazards Modelbpph
Bernstein Polynomial Based Proportional Odds Modelbppo
Estimated regression coefficientscoef.spbp
Confidence intervals for the regression coefficientsconfint.spbp
Generic S3 method credintcredint
Confidence intervals for the regression coefficientscredint.spbp
Model.matrix method for fitted spbp modelsmodel.matrix.spbp
BP based models plot.plot.spbp
Bernstein Polynomial Based Regression Object Printprint.spbp
Bernstein Polynomial Based Regression Object Summary BPAFT Bayesprint.summary.bpaft.bayes
Bernstein Polynomial Based Regression Object Summary BPAFT MLEprint.summary.bpaft.mle
Bernstein Polynomial Based Regression Object Summary BPPH Bayesprint.summary.bpph.bayes
Bernstein Polynomial Based Regression Object Summary BPPH MLEprint.summary.bpph.mle
Bernstein Polynomial Based Regression Object Summary BPPO Bayesprint.summary.bppo.bayes
Bernstein Polynomial Based Regression Object BPPO MLEprint.summary.bppo.mle
Bernstein Polynomial Based Regression Object Summary Bayesprint.summary.spbp.bayes
Bernstein Polynomial Based Regression Object Summary MLEprint.summary.spbp.mle
Power basis polynomials calculationspw.basis
BP based models residuals.residuals.spbp
spbp: The BP Based Survival Analysis Functionspbp
spbp: The BP Based Semiparametric Survival Analysis Functionspbp.default
Bernstein Polynomial Based Regression Object Summarysummary.spbp
BP-based model survival curvessurvfit.spbp
Covariance of the regression coefficientsvcov.spbp