mni.vertex.mixed.model {mni.cortical.statistics} | R Documentation |
Runs a mixed model regression at every vertex.
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