| predict-methods {saemix} | R Documentation |
Methods for Function predict
Description
Methods for function predict
Usage
## S4 method for signature 'SaemixObject'
predict(
object,
newdata = NULL,
type = c("ipred", "ypred", "ppred", "icpred"),
se.fit = FALSE,
...
)
Arguments
object |
an SaemixObject |
newdata |
an optional dataframe for which predictions are desired. If newdata is given, it must contain the predictors needed for the model in object |
type |
the type of predictions (ipred= individual, ppred=population predictions obtained with the population estimates, ypred=mean of the population predictions, icpred=conditional predictions). With newdata, individual parameters can be estimated if the new data contains observations; otherwise, predictions correspond to the population predictions ppred, and type is ignored. |
se.fit |
whether the SE are to be taken into account in the model predictions |
... |
additional arguments passed on to fitted() |
Value
a vector or a dataframe (if more than one type) with the corresponding predictions for each observation in the dataframe
Methods
- list("signature(object = \"ANY\")")
Default predict functions
- list("signature(object = \"SaemixObject\")")
Computes predictions using the results of an SAEM fit