mult.memb: Design Matrices for Multiple Membership Models
In MCMCglmm: MCMC Generalised Linear Mixed Models
mult.memb R Documentation
Design Matrices for Multiple Membership Models
Description
Forms design matrices for multiple membership models
Usage
mult.memb(formula)
Arguments
formula
formula
Details
Currently mult.memb can only usefully be used inside an idv variance function. The formula usually contains serveral factors that have the same factor levels.
Value
design matrix
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
Examples
fac1<-factor(sample(letters[1:3], 5, TRUE), levels=letters[1:3])
fac2<-factor(sample(letters[1:3], 5, TRUE), levels=letters[1:3])
cbind(fac1, fac2)
mult.memb(~fac1+fac2)
MCMCglmm documentation built on July 9, 2023, 5:24 p.m.
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| mult.memb | R Documentation |
Design Matrices for Multiple Membership Models
Description
Forms design matrices for multiple membership models
Usage
mult.memb(formula)
Arguments
formula |
formula |
Details
Currently mult.memb can only usefully be used inside an idv variance function. The formula usually contains serveral factors that have the same factor levels.
Value
design matrix
Author(s)
Jarrod Hadfield j.hadfield@ed.ac.uk
Examples
fac1<-factor(sample(letters[1:3], 5, TRUE), levels=letters[1:3])
fac2<-factor(sample(letters[1:3], 5, TRUE), levels=letters[1:3])
cbind(fac1, fac2)
mult.memb(~fac1+fac2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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