Predict from a milr output

This function computes a prediction or low-dimensional embedding, given milr output. It will return a predictive model if the outcome variable is a scalar. Otherwise, it will return a low-dimensional embedding without a specific predictive model.

milr.predict(
  milrResult,
  dataFrameTrain,
  voxmatsTrain,
  dataFrameTest,
  voxmatsTest,
  myFormula
)

Arguments

milrResult	This output form milr
dataFrameTrain	This data frame contains all relevant predictors in the training data except for the matrices associated with the image variables.
voxmatsTrain	The named list of matrices that contains the changing predictors.
dataFrameTest	This data frame contains all relevant predictors in the training data except for the matrices associated with the image variables in test data.
voxmatsTest	The named list of matrices that contains the changing predictors in test data.
myFormula	This is a character string that defines a valid regression formula.

Value

the predicted matrix.

See also

milr

Examples

nsub = 24
npix = 100
outcome = rnorm( nsub )
covar = rnorm( nsub )
mat = replicate( npix, rnorm( nsub ) )
mat2 = replicate( npix, rnorm( nsub ) )
mat3 = replicate( npix, rnorm( nsub ) )
myform = " vox2 ~ covar + vox + vox3 "
istr = c( rep( TRUE, round(nsub*2/3) ), rep( FALSE, nsub - round(nsub*2/3)) )
df = data.frame( outcome = outcome, covar = covar )
ltr = list( vox = mat[ istr,], vox2 = mat2[istr,], vox3 = mat3[istr,] )
lte = list( vox = mat[!istr,], vox2 = mat2[!istr,], vox3 = mat3[!istr,]  )
result = milr( df[istr,], ltr, myform)
pred = milr.predict( result, df[istr,],ltr, df[!istr,], lte, myform )