getTestEntry.asrtests: Gets the entry for a test recorded in the test.summary.getFormulae.asreml: Gets the formulae from an asreml object.getASRemlVersionLoaded: Finds the version of asreml that is loaded and returns the.facRename.alldiffs: Renames 'factor's in the 'prediction' component of an.facRecast.alldiffs: Reorders and/or revises the factor levels using the order of.facCombine.alldiffs: Combines several factors into one in the components of an.exploreLSDs.alldiffs: Explores the computed LSD values for pairwise differences.estimateV.asreml: Forms the estimated variance, random or residual matrix for.: Determines the set of significant terms from results stored.chooseModel.asrtests: Determines and records the set of significant terms using an.chooseModel: Determines the set of significant terms using p-values and.ChickpeaEnd: A large data set comprising the end of imaging data from a.changeTerms.asrtests: Adds and drops the specified sets of terms from one or both.changeModelOnIC.asrtests: Uses information criteria to decide whether to change an.bootREMLRT.asreml: Uses the parametric bootstrap to calculate the p-value for a.asrtests.object: Description of an asrtests object.asremlPlusTips: The randomly-presented, startup tips.asremlPlus-package: Augments 'ASReml-R' in Fitting Mixed Models and Packages.asremlPlus-deprecated: Deprecated Functions in the Package asremlPlus.as.ame: Forms a 'ame' from a 'ame', ensuring.
: Using supplied predictions and standard errors of pairwise.addBacktransforms.alldiffs: Adds or recalculates the backtransforms component of an.
It can be purchased from ’VSNi’ as ’asreml-R’, who will supply a zip file for local installation/updating. The package ’asreml’ provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. 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. A history of the fitting of a sequence of models is kept in a data frame. 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. Assists in automating the testing of terms in mixed models when ’asreml’ is used to fit the models. R package asremlPlus: Augments the Use of ’Asreml’ in Fitting Mixed Models.