Dear R users,
I am using mixed models to analyze genetic experiments. I have tried to
use R packages such as lme4, nlme. I am looking for a model that can
allow me to specify my correlation structure and the same time allow to
have more than 2 random effects in the model. None of the above packages
fully answer my question and some results obtained have incorrect
degrees of freedom at some point.
For example: Y = XB + Z1g + Z2f + e
where X is the design matrix of fixed effect, B is the vector of fixed
effect, Z1 is a random design matrix of the first random variable,g,
and g is the vector of the random effect g, Z2 is random design matrix
of the second random variable, and f is a vector of the random effect
f., e is the residual error.
If I need to specify an autocorrelation structure such as AR1
(autocorrelation 1st order) or CORG (general correlation) how would I do
that in R? the functions provided do not allow to specify this term
except the gls but it does not take random effects.
I am interested in specifying variance structures such as AR1V
(autocorrelation 1st order), diagonal, uniform heterogeneous, uniform
correlation, Unstrustured etc in my model that has both fixed and
several random effects. Which R packages or functions will help me to
accomplish this?
Thanks.
Laz
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