LMMsolveObject function

Fitted LMMsolve Object

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.

Returns

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

• respVar: The name(s) of the response variable(s).

• 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.