Framework library releases
Releases of foundation and authoring tools libraries to implement the ready4 framework.
Tag: Framework
Installing the ready4 framework foundation library
The ready4 framework foundation is the first ready4 library you should install.
Categories:
Installing tools for authoring computational models
Instructions for installing the ready4class, ready4fun and ready4pack libraries.
Categories:
Framework taxonomies dataset releases
Releases of the dataset of taxonomies used to help standardise code authoring and documentation.
Categories:
Installing tools for authoring and managing model datasets
Instructions for installing the ready4use library.
Categories:
Installing authoring tools
Depending on how you plan to use ready4, you may need to install some or all of its authoring tools.
Categories:
Installing tools for authoring reproducible analyses
Instructions for installing the ready4show library.
Categories:
Author and share model modules
Tools from the ready4class, ready4 fun and ready4pack R libraries streamline and standardise the authoring of ready4 modules.
Categories:
Framework
The ready4 software framework provides tools for coders and modelers to implement transparent, reusable and updatable computational models.
Categories:
Standards
The ready4 software framework has been designed to implement computational models that meet explicit standards of transparency, reusability and updatability.
Categories:
Implementation
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.
Categories:
Paradigms
ready4 software is implemented using a combination of object-oriented and functional programming paradigms.
Categories:
Use
The ready4 software framework libraries provide tools for authoring and sharing model modules, datasets and analyses.
Categories:
Why ready4 is object oriented
ready4 uses an object oriented programming (OOP) paradigm to implement computational models.
Categories:
Modularity
ready4 supports a modular approach to computational model development.
Categories:
The role of functional programming in ready4 development
ready4 uses functional programming to maximise the re-usability of model algorithms.
Categories:
Syntax
ready4 modules use a simple and consistent syntax.
Categories:
Ingest, label and share model data
The ready4use R package provides tools for supplying data to youth mental health computational models.
Categories:
Ingest data from an open access repository
A tutorial from the Acumen website about using ready4 to search and retrieve data from the Australian Mental Health Systems Models Dataverse.
Categories:
Search open access data collections
Online open access data repositories are the preferred storage locations for ready4 model datasets.
Categories:
Add a data dictionary to a dataset
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.
Categories:
Share data via online repositories
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.
Categories:
Framework libraries
There are two types of framework libraries - a foundational library and libraries of authoring tools.
Categories:
Introducing ready4 framework modules and syntax
Announcing the introduction of a novel approach to developing modular models with a simple, consistent syntax.