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.
Value
An object of class LMMsolve contains the following components:
- logL
The restricted log-likelihood at convergence
- sigma2e
The residual error
- tau2e
The estimated variance components
- EDdf
The effective dimensions
- varPar
The number of variance parameters for each variance component
- VarDf
The table with variance components
- theta
The precision parameters
- coefMME
A vector with all the estimated effects from mixed model equations
- ndxCoefficients
The indices of the coefficients with the names
- yhat
The fitted values
- residuals
The residuals
- nIter
The number of iterations for the mixed model to converge
- y
Response variable
- X
The design matrix for the fixed part of the mixed model
- Z
The design matrix for the random part of the mixed model
- lGinv
List with precision matrices for the random terms
- lRinv
List with precision matrices for the residual
- C
The mixed model coefficient matrix after last iteration
- cholC
The cholesky decomposition of coefficient matrix C
- constantREML
The REML constant
- dim
The dimensions for each of the fixed and random terms in the mixed model
- term.labels.f
The names of the fixed terms in the mixed model
- term.labels.r
The names of the random terms in the mixed model
- splRes
An object with definition of spline argument
- deviance
The relative deviance
- family
An object of class family specifying the distribution and link function
- trace
A data.frame with the convergence sequence for the log likelihood and effective dimensions
.