discSurv-package: Discrete Survival Analysis
In discSurv: Discrete Time Survival Analysis

discSurv-package

R Documentation

Discrete Survival Analysis

Description

Includes functions for data transformations, estimation, evaluation and simulation of discrete survival analysis. Some important functions are listed below:

Data preprocessing

dataLong: Transform data from short format into long format for discrete survival analysis and right censoring.
dataLongCompRisks: Transforms short data format to long format for discrete survival modelling in the case of competing risks with right censoring.

Model fitting

estReg: Wrapper to estimate parametric discrete survival models.
estRegSmooth: Wrapper to estimate discrete semiparametric survival generalized additive models.
estForestCompRisks: Wrapper to estimate discrete survival random survival forests.
estRecal: Fits a logistic recalibration model to independent test data.

Model evaluation

cIndex: Calculates the concordance index for discrete survival models, which is an aggregated discrimination measure that integrates out time.
intPredErr: Estimates the integrated prediction error of discrete survival models.

Post-processing

minNodePruning: Tunes the minimal node side of discrete survival trees by cross validation.
survTreeLaplaceHazard: Laplace-smothing for discrete hazards, that were estimated by a survival tree from class "rpart" or "ranger".

Details

"DataShort" format is defined as data without repeated measurements. "DataSemiLong" format consists of repeated measurements, but there are gaps between the discrete time intervals. "DataLong" format is expanded to include all time intervals up to the last observation per individual.