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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