The deviance is profiled with respect to the fixed-effects parameters but not with respect to sigma; that is, the function takes parameters for the variance-covariance parameters and for the residual standard deviation. The random-effects variance-covariance parameters are on the standard deviation/correlation scale, not the theta (Cholesky factor) scale.
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a fitted model inheriting from class
arguments passed to the internal
Returns a function that takes a vector of standard deviations and correlations and returns the deviance (or REML criterion). The function has additional attributes
a named vector giving the parameter values at the optimum
the deviance at the optimum, (i.e., not the REML criterion).
the optimal variance-covariance parameters on the “theta” (Cholesky factor) scale
standard errors of fixed effect parameters
Even if the original model was fitted using
REML=TRUE as by default
lmer(), this returns the deviance, i.e., the objective
function for maximum (log) likelihood (ML).
For the REML objective function, use
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