LMMsolveObject: Fitted LMMsolve Object

In LMMsolver: Linear Mixed Model Solver

Fitted LMMsolve Object

Description

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

.

LMMsolver documentation built on Sept. 11, 2024, 7:31 p.m.