predict.sesJIVE: Prediction for sesJIVE

In enorthrop/sup.r.jive: Supervised JIVE Methods: JIVE Predict, sJIVE, and sesJIVE

Prediction for sesJIVE

Description

Predicted values based on the an sesJIVE model.

Usage

## S3 method for class 'sesJIVE'
predict(
  object,
  newdata,
  threshold = 1e-05,
  max.iter = 2000,
  show.error = F,
  show.message = T,
  train = F,
  ...
)

Arguments

object	An object of class "sesJIVE", usually a fitted sesJIVE model.
newdata	A list of matrices representing the new X datasets.
threshold	threshold for convergence
max.iter	max iterations
show.error	show error during iterations
show.message	show confirmation when method converges
train	A boolean for whether or not the predict function is running for the training dataset. Default is FALSE.
...	Additional arguments

Details

predict.sesJIVE calculates predicted values for newdata based on the fitted model. The function first calculates the joint and individual score matrices for newdata. Note that the fitted model's loadings and coefficients are treated as known and will not get re-calculated. Once the new score matrices are obtained, the linear prediction model will be evaluated using the new scores as the data matrix.

Value

A list of the following components is returned:

Ypred	The fitted Y values.
S_J	A matrix capturing the joint scores of newdata.
S_I	A list containing matrices that capture the individual scores of newdata.
iterations	The number of iterations needed to reach convergence.
error	The error value at which the model converged.

enorthrop/sup.r.jive documentation built on Nov. 18, 2022, 6:01 p.m.