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icenReg (version 2.0.16)

Regression Models for Interval Censored Data

Description

Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.

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Version

Install

install.packages('icenReg')

Monthly Downloads

1,903

Version

2.0.16

License

LGPL (>= 2.0, < 3)

Maintainer

Clifford Anderson-Bergman

Last Published

January 13th, 2024

Functions in icenReg (2.0.16)

lines.icenReg_fit

Plotting for icenReg Fits

Control Parameters for ic_sp

Updates the covariance using cluster bootstrap

Samples fitted survival function

Lung Tumor Interval Censored Data from Hoel and Walburg 1972

Impute Interval Censored Data from icenReg Regression Model

plot.icenReg_fit

Plotting for icenReg Fits

Draw samples from an icenReg model

predict.icenReg_fit

Predictions from icenReg Regression Model

Semi-Parametric models for Interval Censored Data

Simulate Current Status Data

Simulate Doubly Censored Data

Confidence/Credible intervals for survival curves

Simulates data with multiple observations per subject

Simulates interval censored data from regression model with a Weibull baseline

Convert current status data into interval censored format

Control parameters for ic_bayes

Parametric Regression Models for Interval Censored Data

Compare parametric baseline distributions with semi-parametric baseline

Get Estimated Survival Curves from Semi-parametric Model for Interval Censored Data

Interval censored time from diabetes onset to diabetic nephronpathy

Bayesian Regression Models for Interval Censored Data

Non-Parametric Estimator for Interval Censored Data

Get Survival Curve Estimates from icenReg Model

Evaluate covariate effect for regression model