predict.icenReg_fit: Predictions from icenReg Regression Model

In icenReg: Regression Models for Interval Censored Data

Description

Gets various estimates from an ic_np, ic_sp or ic_par object.

Usage

## S3 method for class 'icenReg_fit'
predict(object, type = "response",
  newdata = NULL, ...)

Arguments

object	Model fit with ic_par or ic_sp
type	type of prediction. Options include "lp", "response"
newdata	data.frame containing covariates
...	other arguments (will be ignored)

Details

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

For the argument type, there are two options. "lp" provides the linear predictor for each subject (i.e. in a proportional hazards model, this is the log-hazards ratio, in proportional odds, the log proporitonal odds), "response" provides the median response value for each subject, *conditional on that subject's covariates, but ignoring their actual response interval*. Use imputeCens to impute the censored values.

Author(s)

Clifford Anderson-Bergman

Examples

simdata <- simIC_weib(n = 500, b1 = .3, b2 = -.3,
                      inspections = 6,
                      inspectLength = 1)

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

imputedValues <- predict(fit)

Example output

Loading required package: survival
Loading required package: Rcpp
Loading required package: coda

icenReg documentation built on Oct. 23, 2020, 8:11 p.m.