mni.vertex.mixed.model: Per vertex mixed model regression
In BIC-MNI/mni.cortical.statistics: Regression analyses on the surface

Description Usage Arguments Details Value Author(s) See Also

Runs a mixed model regression at every vertex.

1	vs <- mni.vertex.mixed.model(glim.matrix, fixed.effect, random.effect, vertex.table=FALSE)

`glim.matrix`	The design matrix as specified by mni.read.glim.file
`fixed.effect`	The fixed effect part of the formula
`random.effect`	The random effects part of the formula
`vertex.table`	The data table as created by mni.build.data.table

Runs a linear mixed effect model at each vertex. The two formula specifications are the same as in lme, so that is a good place to get some more in depth guidance.

A list with the same number of rows as vertices in the data table containing the value, standard error, and t-statistic.

Jason Lerch

mni.vertex.statistics lme

BIC-MNI/mni.cortical.statistics documentation built on May 5, 2019, 10:25 a.m.