Releases of foundation and authoring tools libraries to implement the ready4 framework.
Tag: Framework - authoring tools
Instructions for installing the ready4class, ready4fun and ready4pack libraries.
Instructions for installing the ready4use library.
Depending on how you plan to use ready4, you may need to install some or all of its authoring tools.
Instructions for installing the ready4show library.
Tools from the ready4class, ready4 fun and ready4pack R libraries streamline and standardise the authoring of ready4 modules.
The ready4class R package supports partially automated and standardised workflows for defining the data structures to be used in computational models.
ready4 uses functional programming to maximise the re-usability of model algorithms.
The ready4fun R package supports standardised approaches to code authoring that facilitate partial automation of the documenting of model algorithms.
ready4 supports tools to streamline the testing, description and distribution of computational model modules.
The ready4use R package provides tools for supplying data to youth mental health computational models.
A tutorial from the Acumen website about using ready4 to search and retrieve data from the Australian Mental Health Systems Models Dataverse.
Pairing a dataset with its dictionary makes it easier to interpret. This tutorial describes how a module from the ready4use R package can help you to pair a dataset and its dictionary.
The retrieval and dissemination of data from online data repositories is an essential enabler of open source modelling. This tutorial describes how a module from the ready4use R package can help you to manage this process.
There are two types of framework libraries - a foundational library and libraries of authoring tools.