The score vector of length number of random parameters.Ī list with three components named fixed, random and sparse containing the solutions to the mixed model equations corresponding to the fixed effects, the E-BLUPs of the random effects, and the solutions corresponding to the sparse fixed effects, respectively. Percentage change in gammas on the last iteration. Numeric values are used internally and the character codes as used by the own() variance model can be obtained from the function vpt.char. The function vpc.char can be used to interpret the numeric values as per summary.asreml.Ī numeric vector identifying the variance parameter types.
Common values are 1, 3 and 4 for Positive, Unconstrained and Fixed, respectively.
The vector of variance parameter estimates from the fit.Ī numeric vector identifying the boundary constraint applied to each variance parameter at termination. The loglikelihood at completion of the asreml call. Value A list object with class asreml the following components are included in a valid asreml object: Objects of this class have methods for the generic functions wald(), coef(), fitted(), plot(), predict(), resid(), summary() and update(). Asreml.object: This (S3) class object contains a fitted linear mixed model from the asreml() function.