![]() ![]() It assists in automating the testing of terms in mixed models when ‘asreml’ is used ` “foreach”, “parallel”, “doParallel”))` What is does Install.packages(c("dae", "ggplot2", "reshape", "plyr", "stringr", "RColorBrewer", If you have not previously installed asremlPlus then you will need to install it dependencies: Version 2.0-12 of the package is available from CRAN so that you could first install it and its dependencies using: Next, install asremlPlus from GitHub by entering:ĭevtools::install_github("briencj\asremlPlus"). ![]() First, make sure devtools is installed, which, if you do not have it, can be done as follows: Installing the packageĪsremlPlus is an R package available on GitHub, so it can be installed from the RStudio console or an R command line session using the devtools command install_github. In particular, an example of its use is given towards the bottom of the help information. More informationįor more information install the package and run the R command news(package = “asremlPlus”) or consult the manual.Īn overview can be obtained using ?asremlPlus. Versions 4.x-xx of asremlPlus are a major revamp of the package and include substantial syntax changes. Has some changes in syntax that necessitate changes in asremlPlus. ASReml-R version 4 is currently undergoing beta-testing and ![]() This version is compatible with both ASReml-R versions 3 and 4. Our GitHub repositories can be found here.AsremlPlus is an R package that augments the use of ASReml-R and ASReml4-R in fitting mixed models. Navigation document: A helpful guide to assist existing users in transitioning from ASReml-R Version 3 to Version 4. Reference Manual: A comprehensive guide to the complete functionality of ASReml-R Version 4. Pedicure: The pedicure package provides tools for pedigrees and genetic marker matrices. Optimal Design: The odw package generates optimal experimental designs under the linear mixed model. Also enables extraction and plotting of the components of the splines. TPSbits: Creates structures to enable ASReml-R to fit the 2D tensor-product splines of Rodriguez-Alvarez et al (2018, Spatial Statistics 23, 52-71). The following packages are available for download from their respective pages:ĪSExtras4: Utility functions for ASReml objects: diagnostic tools for the meta-analysis of a series of spatially defined field experiments. Is to foster and support the use of linear and generalised linear mixed models, with particular application to plant and animal breeding data. ![]()
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