An R package for (Generalized) Linear Mixed Models (G)LMM incorporating user defined 'G-site' covariance relationship matrices (derived from pedigreemm).
The package was created in order to get things done in my own research; estimation of variance components in quantitative genetics. Any other use case is not tested and may or may not be valid.
# install.packages("devtools")
devtools::install_github("jrklasen/MixedModels")
If a random-effect term has single observations per level, but can be distinguished from the residuals by the relationship matrix, the control
-argument of mm()
can be used in order to bypass the checks.
mm(..., control = lmerControl(check.nobs.vs.nlev = "ignore",
check.nobs.vs.nRE = "ignore"))
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