getFitted: Get fitted / predicted values

getFittedR Documentation

Get fitted / predicted values


Wrapper to get the fitted / predicted response of model at the response scale


getFitted(object, ...)

## Default S3 method:
getFitted(object, ...)

## Default S3 method:
getResiduals(object, ...)

## S3 method for class 'gam'
getFitted(object, ...)

## S3 method for class 'HLfit'
getFitted(object, ...)

## S3 method for class 'MixMod'
getFitted(object, ...)



a fitted model


additional parameters to be passed on, usually to the simulate function of the respective model class


The purpose of this wrapper is to standardize extract the fitted values, which is implemented via predict(model, type = "response") for most model classes.

If you implement this function for a new model class, you should include an option to modifying which REs are included in the predictions. If this option is not available, it is essential that predictions are provided marginally / unconditionally, i.e. without the random effect estimates (because of, which corresponds to re-form = ~0 in lme4


Florian Hartig

See Also

getObservedResponse, getSimulations, getRefit, getFixedEffects


testData = createData(sampleSize = 400, family = gaussian())

fittedModel <- lm(observedResponse ~ Environment1 , data = testData)

# response that was used to fit the model

# predictions of the model for these points

# extract simulations from the model as matrix
getSimulations(fittedModel, nsim = 2)

# extract simulations from the model for refit (often requires different structure)
x = getSimulations(fittedModel, nsim = 2, type = "refit")

getRefit(fittedModel, x[[1]])

getRefit(fittedModel, getObservedResponse(fittedModel))

DHARMa documentation built on Sept. 9, 2022, 1:06 a.m.