imputeCens: 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")

Author

Clifford Anderson-Bergman

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.

Examples

Run this code

simdata <- simIC_weib(n = 500)

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

imputedValues <- imputeCens(fit)

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