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icenReg (version 1.3.5)

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 both semi and fully parametric models (parametric only for accelerated failure time 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

1.3.5

License

LGPL (>= 2.0, < 3)

Maintainer

Clifford Anderson-Bergman

Last Published

May 22nd, 2016

Functions in icenReg (1.3.5)

ic_sp

Semi-Parametric models for Interval Censored Data
ic_np

Non-Parametric Estimator for Interval Censored Data
IR_diabetes

Interval censored time from diabetes onset to diabetic nephronpathy
ICNPMLE

Computes the NPMLE for Univariate or Bivariate Interval Censored Data
imputeCens

Impute Interval Censored Data from icenReg Regression Model
diag_baseline

Compare parametric baseline distributions with semi-parametric baseline
predict.icenReg_fit

Predictions from icenReg Regression Model
optCliq

Computes the MLE for a Binary Mixture Model.
miceData

Lung Tumor Interval Censored Data from Hoel and Walburg 1972
simIC_weib

Simulates interval censored data from regression model with a Weibull baseline
simBVCen

Simulates Bivariate Interval Censored Data
abs_inv

Loss Function for interval censored cross validation
getFitEsts

Get Estimates from icenReg Regression Model
ic_par

Parametric Regression Models for Interval Censored Data
icenReg_cv

Get Cross-Validation Statistics from icenReg Regression model
getSCurves

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

Evaluate covariate effect for regression model