If you are a Python user you might have noticed that despite the myriad of available libraries and frameworks - especially on the Machine Learning side - this language still lacks depth on some conventional, well-established and proven statistical tools, such as linear mixed models (LMMs). In addition, its libraries often have more permissive terms of licensing, and this generates significant interest, especially from industry. It is versatile, user friendly, well documented and is backed by a vast and ever-increasing community. Python is the most popular programming language for data science and related fields. A licensed version of ASReml-R (note: this is not free software) Īdditionally you will need Internet access to open some of the Python packages and use the ASReml-R license.NOTE: If you want to run the code examples in this tutorial you will need to have the following software installed.
