predict-methods: Methods for Function predict

In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

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

saemix documentation built on July 9, 2023, 7:43 p.m.