Package: discSurv 2.0.0

Thomas Welchowski

discSurv: Discrete Time Survival Analysis

Provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.

Authors:Thomas Welchowski <[email protected]> and Moritz Berger <[email protected]> and David Koehler <[email protected]> and Matthias Schmid <[email protected]>

discSurv_2.0.0.tar.gz
discSurv_2.0.0.tar.gz(r-4.5-noble)discSurv_2.0.0.tar.gz(r-4.4-noble)
discSurv_2.0.0.tgz(r-4.4-emscripten)discSurv_2.0.0.tgz(r-4.3-emscripten)
discSurv.pdf |discSurv.html✨
discSurv/json (API)

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

Peer review:

Datasets:

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

2.09 score 2 stars 62 scripts 500 downloads 1 mentions 36 exports 44 dependencies

Last updated 3 years agofrom:5205b2d1dd. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxNOTENov 11 2024

Exports:adjDevResidcalibrationPlotcIndexcIndexCompRiskscompRisksGEEcontToDisccovarGEEdataCensoringdataLongdataLongCompRisksdataLongCompRisksTimeDepdataLongMultiSpelldataLongSubDistdataLongTimeDepdevResidestCumInzestMargProbestMargProbCompRisksestRecalestSurvestSurvCensestSurvCompRisksgumbelintPredErrintPredErrCompRiskslifeTablemartingaleResidminNodePruningminNodePruningCompRisksplotCumIncplotSurvpredErrCompRiskspredErrCurvesurvTreeLaplaceHazardsurvTreeLaplaceHazardRangerweightsLtoT

Dependencies:backportsBHbroomcliclustercpp11data.tabledplyrfansifunctionalgeepackgenericsgluelatticelifecyclemagrittrMASSMatrixmgcvmvnfastmvtnormnlmepillarpkgconfigpurrrR6rangerrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangrpartstringistringrtibbletidyrtidyselecttreeClustutf8vctrsVGAMwithr

Readme and manuals

Help Manual

Help pageTopics
Discrete Survival AnalysisdiscSurv-package
Adjusted Deviance Residuals in short formatadjDevResid
Calibration PlotscalibrationPlot
Concordance indexcIndex
Discrete concordance index for competing riskscIndexCompRisks
GEE model for discrete competing riskscompRisksGEE predict.dCRGEE
Continuous to Discrete TransformationcontToDisc
GEE covariance of all events for discrete competing riskscovarGEE
Crash 2 competing risk datacrash2
Data Censoring Transformation for short formatsdataCensoring
Data Long TransformationdataLong
Data Long Competing Risks TransformationdataLongCompRisks
Data Long Competing Risks Time Dependent Covariates TransformationdataLongCompRisksTimeDep
Data long transformation for multi spell analysisdataLongMultiSpell
Data Matrix and Weights for Discrete Subdistribution Hazard ModelsdataLongSubDist
Data Long Time Dependent CovariatesdataLongTimeDep
Deviance ResidualsdevResid
Estimates Cumulative Incidence Function for Discrete Time Competing Risks ModelsestCumInz
Estimated Marginal ProbabilitiesestMargProb
Estimated Marginal Probabilities for Competing RisksestMargProbCompRisks
Logistic recalibration based on linear predictorsestRecal
Estimated Survival FunctionestSurv
Estimated Survival Function of Censoring ProcessestSurvCens
Estimated Survival Function for Competing RisksestSurvCompRisks
Gumbel Link Functiongumbel
Integrated prediction errorintPredErr
Integrated Prediction Error for Competing RisksintPredErrCompRisks
Life Table Construction and EstimateslifeTable print.discSurvLifeTable
Minimal Node Size PruningminNodePruning
Minimal Node Size Pruning in the Presence of Competing RisksminNodePruningCompRisks
Plot Estimated Cumulative Incidence FunctionplotCumInc
Plot Estimated Survival FunctionplotSurv
Prediction Error Curves for Competing RiskspredErrCompRisks
Prediction Error Curvesplot.discSurvPredErrDisc predErrCurve print.discSurvPredErrDisc
Laplace Hazards for a Competing Risk Survival Tree ObjectsurvTreeLaplaceHazard
Laplace Hazards for a Competing Risk Survival Tree ObjectsurvTreeLaplaceHazardRanger
Multiple Spell employment dataunempMultiSpell
Compute Subdistribution WeightsweightsLtoT