imputeCens: Impute Interval Censored Data from icenReg Regression Model

In icenReg: Regression Models for Interval Censored Data

Impute Interval Censored Data from icenReg Regression Model

Description

Imputes censored responses from data.

Usage

imputeCens(fit, newdata = NULL, imputeType = "fullSample", samples = 5)

Arguments

fit	icenReg model fit
newdata	data.frame containing covariates and censored intervals. If blank, will use data from model
imputeType	type of imputation. See details for options
samples	Number of imputations (ignored if imputeType = "median")

Details

If newdata is left blank, will provide estimates for original data set.

There are several options for how to impute. imputeType = 'median' imputes the median time, conditional on the response interval, covariates and regression parameters at the MLE. To get random imputations without accounting for error in the estimated parameters imputeType ='fixedParSample' takes a random sample of the response variable, conditional on the response interval, covariates and estimated parameters at the MLE. Finally, imputeType = 'fullSample' first takes a random sample of the coefficients, (assuming asymptotic normality) and then takes a random sample of the response variable, conditional on the response interval, covariates, and the random sample of the coefficients.

Author(s)

Clifford Anderson-Bergman

Examples

simdata <- simIC_weib(n = 500)

fit <- ic_par(cbind(l, u) ~ x1 + x2,
              data = simdata)

imputedValues <- imputeCens(fit)

icenReg documentation built on May 29, 2024, 5:32 a.m.