Package: relsurv 2.3-3

Damjan Manevski

relsurv: Relative Survival

Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.

Authors:Maja Pohar Perme [aut], Damjan Manevski [aut, cre]

relsurv_2.3-3.tar.gz
relsurv_2.3-3.tar.gz(r-4.7-arm64)relsurv_2.3-3.tar.gz(r-4.7-x86_64)relsurv_2.3-3.tar.gz(r-4.6-arm64)relsurv_2.3-3.tar.gz(r-4.6-x86_64)
relsurv_2.3-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
relsurv/json (API)

# Install 'relsurv' in R:
install.packages('relsurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • colrec - Relative Survival Data
  • ebmt1wide - EBMT Data Taken From Package mstate
  • rdata - Survival Data
  • slopop - Census Data Set for the Slovene Population

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

5.41 score 5 stars 5 packages 69 scripts 5.0k downloads 20 mentions 28 exports 112 dependencies

Last updated from:31d903fe90. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK188
linux-devel-x86_64OK194
source / vignettesOK267
linux-release-arm64OK188
linux-release-x86_64OK186
wasm-releaseOK1053

Exports:cmp.relepaexpprep2invtimejoinratenessieplot_fplot_yearspopsurvpredict.aalen.modelpredict.rsaddresiduals.rsaddrs.brrs.diffrs.survrs.surv.rsaddrs.zphrsaalenrsaddrsmulrstranssurvaalensurvfit.rsaddsurvsplittransratetransrate.hldtransrate.hmdyears

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacecpp11data.tablediagramdigestdoParalleldplyrevaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2glmnetglobalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalazyevallifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmvtnormnlmennetnumDerivpammtoolsparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishpurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesscamshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytexutf8vctrsviridisLitewithrxfunyamlzoo

Readme and manuals

Help Manual

Help pageTopics
Compute crude probability of deathcmp.rel print.cmp.rel
Relative Survival Datacolrec
EBMT Data Taken From Package mstateebmt1wide
Excess hazard function smoothingepa
expprep2 functionexpprep2
Inverse transforming of time in Relative Survivalinvtime
Join ratetablesjoinrate
Net Expected Sample Size Is Estimatednessie
Plot the absolute risk (observed and population curve)plot_f
Plot the years measureplot_years
Plot the crude probability of deathplot.cmp.rel
Graphical Inspection of Proportional Hazards Assumption in Relative Survival Modelsplot.rs.zph
Calculate the expected (population) survivalpopsurv
Subject-specific prediction for an Aalen modelpredict.aalen.model
Subject-specific prediction for an excess hazards modelpredict.rsadd
Survival Datardata
Calculate Residuals for a "rsadd" Fitresiduals.rsadd
Test the Proportional Hazards Assumption for Relative Survival Regression Modelsplot.rs.br print.rs.br rs.br
Test Net Survival Curve Differencesprint.rsdiff rs.diff
Compute a Relative Survival Curvers.surv
Compute a Relative Survival Curve from an additive relative survival modelrs.surv.rsadd
Behaviour of Covariates in Time for Relative Survival Regression Modelsrs.zph
Fit an extended additive hazards model using relative survivalrsaalen
Fit an Additive model for Relative Survivalrsadd
Fit Andersen et al Multiplicative Regression Model for Relative Survivalrsmul
Fit Cox Proportional Hazards Model in Transformed Timerstrans
Census Data Set for the Slovene Populationslopop
Summary of the crude probability of deathsummary.cmp.rel
Fit an additive hazards modelsurvaalen
Compute a Predicited Survival Curvesurvfit.rsadd
Split a Survival Data Set at Specified Timessurvsplit
Reorganize Data into a Ratetable Objecttransrate
Reorganize Data obtained from Human Life-Table Database into a Ratetable Objecttransrate.hld
Reorganize Data obtained from Human Mortality Database into a Ratetable Objecttransrate.hmd
Compute one of the life years measuresyears