The ready4 framework foundation is the first ready4 library you should install.
Releases of foundation and authoring tools libraries to implement the ready4 framework.
Instructions for installing the ready4class, ready4fun and ready4pack libraries.
Instructions for installing the ready4use library.
Releases of the dataset of taxonomies used to help standardise code authoring and documentation.
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 ready4 prototype software framework supports computational health economic model implementation that meet explicit transparency, reusability and updatability criteria.
The ready4 software framework is distributed as a collection of framework code libraries that support object-oriented and functional approaches to implementing modular and open source computational models.
ready4 software is implemented using a combination of object-oriented and functional programming paradigms.
ready4 software framework libraries provide tools for authoring and sharing model modules, datasets and analyses.
ready4 uses an object oriented programming (OOP) paradigm to implement computational models.
ready4 supports a modular approach to computational model development.
ready4 uses functional programming to maximise the re-usability of model algorithms.
ready4 modules use a simple and consistent syntax.
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.
Online open access data repositories are the preferred storage locations for ready4 model datasets.
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.
Announcing the introduction of a novel approach to developing modular models with a simple, consistent syntax.