lme_mass_fit_vw: Mass-univariate linear mixed-effects model fitting

In Deep-MI/fslmer: Univariate And Mass-Univariate Linear Mixed-Effects Analysis For FreeSurfer Imaging Data

Mass-univariate linear mixed-effects model fitting

Description

Mass-univariate linear mixed-effects model fitting

Usage

lme_mass_fit_vw(
  X,
  Zcols,
  Y,
  ni,
  maskvtx = NA,
  prs = 1,
  e = 10^-1,
  Xrows = NA,
  numcore = 1
)

Arguments

X	Design matrix
Zcols	Vector of random effect indices in design matrix
Y	Outcome variable
ni	Vector indicating the repeated observations of each subject
maskvtx	Indices (one-based) for vertices to include in the analysis (default: all)
prs	(currently ignored)
e	Tolerance (default: 10^-1)
Xrows	Internal parameter (default: NA)
numcore	Number of cores for parallel computing (default: 1)

Value

This function returns a list with the following parameters: Bhat, CovBhat, phisqhat, Dhat, X, Zcols, invEI, Pth, Qthth, lreml.

Examples

## Not run: stats <- lme_mass_fit_vw(X, Zcols, Y, ni, numcore=1)

Deep-MI/fslmer documentation built on Jan. 24, 2025, 11:24 p.m.