predict.FuncompCGL: make predictions from a "FuncompCGL" object
In Zhe-Research/compReg: Compositional Data Regression

Description Usage Arguments Details Value

predicts fitted values and class labels from a fitted FuncompCGL object.

1 2	## S3 method for class 'FuncompCGL' predict(object, newx, s = NULL, ...)

`object`	fitted `FuncompCGL` object.
`newx`	matrix of new values for x at which predictions are to be made. Must be a matrix.
`s`	value(s) of the penalty parameter `lam` at which predictions are required. Default is the entire sequence used to create the model.
`...`	Not used. Other arguments to predict.

s is the new vector at which predictions are requested. If s is not in the lambda sequence used for fitting the model, the predict function will use linear interpolation to make predictions. The new values are interpolated using a fraction of predicted values from both left and right lam indices.

prediction values at the requested values for s.

Zhe-Research/compReg documentation built on May 28, 2019, 8:38 a.m.