ASReml 2 add-on module for S-Plus and R users

ASReml 2 is currently available as a standalone program, with a windows interface, or as an add-on module to S-plus or R. To find out what versions of ASReml are available on the different operating systems see the list of supported platforms.

In addition, we have simplified the licence process; you only need one licence to run ASReml-W, ASReml-S or ASReml-R.

So whatever your preferred working environment, you can access the power and efficiency of ASReml 2 in a manner that suits you.

ASReml is a statistical package that fits linear mixed effects models using Residual Maximum Likelihood (REML) to provide a rich and flexible tool for the analysis of many data sets commonly arising in the agricultural, biological, medical and environmental sciences.

ASReml is a joint project of NSW Department of Primary Industries and Rothamsted Research. Its stable platform delivers well established procedures together with current research in the application of linear mixed models. The strength of ASReml is the use of the Average Information (AI) algorithm and sparse matrix methods for fitting the linear mixed model. As a result ASReml analyses large and complex data sets more efficiently than other packages.

ASReml Features

• Uniquely efficient and fast algorithms for mixed model analysis, saving you considerable time and effort.
• Handles large data sets (of 100,000 or more observations/effects).
• Allows for direct fitting of cubic smoothing splines (Verbyla et al, 1999), with user-specified knot points.
• Facilitates multi-environment trials for the analysis of plant or crop improvement data
• Analyses univariate and multivariate breeding and genetics data
• Supports a wide range of variance models for spatial analysis
• Encourages innovative modelling of longitudinal data
• ASReml has already been successfully applied to:
  Animal and plant breeding and agricultural experimentation
  Environmental sciences
  Medical research