Virtual class for internal use. Do not use.

# S4 method for class 'lcMetaMethod'
compose(method, envir = NULL)

# S4 method for class 'lcMetaMethod'
getLcMethod(object, ...)

# S4 method for class 'lcMetaMethod'
getName(object, ...)

# S4 method for class 'lcMetaMethod'
getShortName(object, ...)

# S4 method for class 'lcMetaMethod'
idVariable(object, ...)

# S4 method for class 'lcMetaMethod'
preFit(method, data, envir, verbose)

# S4 method for class 'lcMetaMethod'
prepareData(method, data, verbose)

# S4 method for class 'lcMetaMethod'
fit(method, data, envir, verbose)

# S4 method for class 'lcMetaMethod'
postFit(method, data, model, envir, verbose)

# S4 method for class 'lcMetaMethod'
responseVariable(object, ...)

# S4 method for class 'lcMetaMethod'
timeVariable(object, ...)

# S4 method for class 'lcMetaMethod'
validate(method, data, envir = NULL, ...)

# S3 method for class 'lcMetaMethod'
update(object, ...)

# S4 method for class 'lcFitConverged'
fit(method, data, envir, verbose)

# S4 method for class 'lcFitConverged'
validate(method, data, envir = NULL, ...)

# S4 method for class 'lcFitRep'
fit(method, data, envir, verbose)

# S4 method for class 'lcFitRep'
validate(method, data, envir = NULL, ...)

Arguments

method

The lcMethod object.

envir

The environment in which the lcMethod should be evaluated

object

The model.

...

Not used.

data

A data.frame representing the transformed training data.

verbose

A R.utils::Verbose object indicating the level of verbosity.

model

The lcModel object returned by fit().