fslmer: fslmer: A package for univariate and mass-univariate linear...

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

fslmer: A package for univariate and mass-univariate linear mixed-effects analysis for FreeSurfer imaging data.

Description

The fslmer package is a port of FreeSurfer's Matlab-based LME tools to the R programming language.

Details

The package is provided via a GitHub repository at https://github.com/Deep-MI/fslmer.

Please refer to the original documentation at https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalStatistics and https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels for an overview and further information about the software. For the original code, see the original repository at https://github.com/NeuroStats/lme.

If you use these tools in your analysis please cite:

• Bernal-Rusiel J.L., Greve D.N., Reuter M., Fischl B., Sabuncu M.R., 2012. Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models, NeuroImage 66, 249-260, 2012, https://dx.doi.org/10.1016%2Fj.neuroimage.2012.10.065.

• Bernal-Rusiel J.L., Greve D.N., Reuter M., Fischl B., Sabuncu M.R., 2013. Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data, NeuroImage 81, 358–370, 2013, https://doi.org/10.1016/j.neuroimage.2013.05.049.

• Reuter M., Schmansky N.J., Rosas H.D., Fischl B, 2012.Within-Subject Template Estimation for Unbiased Longitudinal Image Analysis, NeuroImage 61, 1402-1418, 2012, http://dx.doi.org/10.1016/j.neuroimage.2012.02.084.

Examples

Run vignette("example-analyses", package = "fslmer") to open the documentation for two analysis examples.

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