R: Regression Models for Interval Censored Data

# Regression Models for Interval Censored Data

## Documentation for package ‘icenReg’ version 2.0.16

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bayesControls | Control parameters for ic_bayes
cs2ic | Convert current status data into interval censored format
diag_baseline | Compare parametric baseline distributions with semi-parametric baseline
diag_covar | Evaluate covariate effect for regression model
getFitEsts | Get Survival Curve Estimates from icenReg Model
getSCurves | Get Estimated Survival Curves from Semi-parametric Model for Interval Censored Data
ic_bayes | Bayesian Regression Models for Interval Censored Data
ic_np | Non-Parametric Estimator for Interval Censored Data
ic_par | Parametric Regression Models for Interval Censored Data
ic_sample | Draw samples from an icenReg model
ic_sp | Semi-Parametric models for Interval Censored Data
imputeCens | Impute Interval Censored Data from icenReg Regression Model
ir_clustBoot | Updates the covariance using cluster bootstrap
IR_diabetes | Interval censored time from diabetes onset to diabetic nephronpathy
lines.icenReg_fit | Plotting for icenReg Fits
makeCtrls_icsp | Control Parameters for ic_sp
miceData | Lung Tumor Interval Censored Data from Hoel and Walburg 1972
plot.icenReg_fit | Plotting for icenReg Fits
predict.icenReg_fit | Predictions from icenReg Regression Model
sampleSurv | Samples fitted survival function
simCS_weib | Simulate Current Status Data
simDC_weib | Simulate Doubly Censored Data
simIC_cluster | Simulates data with multiple observations per subject
simIC_weib | Simulates interval censored data from regression model with a Weibull baseline
survCIs | Confidence/Credible intervals for survival curves