An object of class LMMsolve returned by the LMMsolve function,
representing a fitted linear mixed model. Objects of this class have
methods for the generic functions coef, fitted, residuals, loglik and
deviance.
An object of class LMMsolve contains the following components:
The restricted log-likelihood at convergence
The residual error
The estimated variance components
The effective dimensions
The number of variance parameters for each variance component
The table with variance components
The precision parameters
A vector with all the estimated effects from mixed model equations
The indices of the coefficients with the names
The fitted values
The residuals
The number of iterations for the mixed model to converge
Response variable
The design matrix for the fixed part of the mixed model
The design matrix for the random part of the mixed model
List with precision matrices for the random terms
List with precision matrices for the residual
The mixed model coefficient matrix after last iteration
The cholesky decomposition of coefficient matrix C
The REML constant
The dimensions for each of the fixed and random terms in the mixed model
The names of the fixed terms in the mixed model
The names of the random terms in the mixed model
The name(s) of the response variable(s).
An object with definition of spline argument
The relative deviance
An object of class family specifying the distribution and link function
A data.frame with the convergence sequence for the log likelihood and effective dimensions
.