The data filters are applied by latrend prior to model estimation. These filters are used in latrendBoot and latrendCV.
bootSample(data, id, seed = NULL)trainFold(data, fold, id, folds, seed)
testFold(data, fold, id, folds, seed)
The data.frame
representing the model dataset.
The name of the trajectory identifier variable.
Optional seed for ensuring reproducibility.
The fold to select.
Total number of folds to create.
Other validation methods:
createTestDataFolds()
,
createTestDataFold()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()
Other validation methods:
createTestDataFolds()
,
createTestDataFold()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()
Other validation methods:
createTestDataFolds()
,
createTestDataFold()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()