Augments the Use of 'Asreml' in Fitting Mixed Models
Provides functions that assist in automating the testing of terms
in mixed models when 'asreml' is used to fit the models. The package 'asreml'
is marketed by 'VSNi' (http://www.vsni.co.uk/) as 'asreml-R' and provides a
computationally efficient algorithm for fitting mixed models using
Residual Maximum Likelihood. The content falls into the following natural
groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification
functions, (iv) Model testing functions, (v) Model diagnostics functions,
(vi) Prediction production and presentation functions, (vii) Response
transformation functions, and (viii) Miscellaneous functions.
A history of the fitting of a sequence of models is kept in a data frame.
Procedures are available for choosing models that conform to the hierarchy or
marginality principle and for displaying predictions for significant terms
in tables and graphs.

Assists in automating the testing of terms in mixed models when 'asreml' is used
to fit the models. The content falls into the following natural groupings: (i) Data, (ii) Object
manipulation functions, (iii) Model modification functions, (iv) Model testing functions,
(v) Model diagnostics functions, (vi) Prediction production and presentation functions,
(vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the
fitting of a sequence of models is kept in a data frame. Procedures are available for choosing
models that conform to the hierarchy or marginality principle and for displaying predictions
for significant terms in tables and graphs. The package 'asreml' provides a computationally
efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It can be
purchased from 'VSNi' (http://www.vsni.co.uk/) as 'asreml-R', who will supply a zip file for
local installation/updating.

Augments the Use of 'ASReml-R' in Fitting Mixed Models
dae, ggplot2, stats, methods, utils, grDevices
Assists in automating the testing of terms in mixed models when 'asreml' is used
to fit the models. The content falls into the following natural groupings: (i) Data, (ii) Object
manipulation functions, (iii) Model modification functions, (iv) Model testing functions,
(v) Model diagnostics functions, (vi) Prediction production and presentation functions,
(vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the
fitting of a sequence of models is kept in a data frame. Procedures are available for choosing
models that conform to the hierarchy or marginality principle and for displaying predictions
for significant terms in tables and graphs. The package 'asreml' provides a computationally
efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It can be
purchased from 'VSNi' <http://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for
local installation/updating.