View source: R/user_utilities.R
| predict.icenReg_fit | R Documentation | 
Gets various estimates from an ic_np, ic_sp or ic_par object.
## S3 method for class 'icenReg_fit'
predict(object, type = "response", newdata = NULL, ...)
| object | Model fit with  | 
| type | type of prediction. Options include  | 
| newdata | 
 | 
| ... | other arguments (will be ignored) | 
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.
Clifford Anderson-Bergman
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)
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