Installing the ready4 framework foundation library
The ready4 framework foundation is the first ready4 library you should install.
Tag: Framework
Installing tools for authoring computational models
Instructions for installing the ready4class, ready4fun and ready4pack libraries.
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Template module
ready4 provides a template to facilitate modular implementation of health economic models.
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Framework library releases
Releases of foundation and authoring tools libraries to implement the ready4 framework.
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Installing tools for authoring and managing model datasets
Instructions for installing the ready4use library.
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Provide end users with a simple and consistent syntax for using model modules
Methods are associated with ready4 modules using a novel syntax.
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Framework taxonomies dataset releases
Releases of the dataset of taxonomies used to help standardise code authoring and documentation.
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Installing authoring tools
Depending on how you plan to use ready4, you may need to install some or all of its authoring tools.
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Installing tools for authoring reproducible analyses
Instructions for installing the ready4show library.
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Author and share model modules
Tools from the ready4class, ready4 fun and ready4pack R libraries streamline and standardise the authoring of ready4 modules.
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Partially automate maintenance of a modelling project's website
ready4 includes tools that can help maintain the documentation website for a modelling project.
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Purpose
The ready4 prototype software framework supports model implementations that meet explicit transparency, reusability and updatability criteria.
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Develop, adapt and maintain computational health economic models
ready4 software framework libraries provide tools for authoring, documenting and maintaining living and transferable health economic models analyses.
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Use modules of health economic models to implement repeatable research
ready4 software framework libraries provide tools for finding reusable modules of health economic models, supplying them with compatible data and authoring reproducible analysis scripts.
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Implementation
The ready4 prototype 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.
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Paradigms
ready4 software is implemented using a combination of object-oriented and functional programming paradigms.
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Tutorials
ready4 software framework libraries provide tools for authoring and sharing model modules, datasets and analyses.
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Why ready4 is object oriented
ready4 uses an object oriented programming (OOP) paradigm to implement computational models.
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The role of functional programming in ready4 development
ready4 uses functional programming to maximise the re-usability of model algorithms.
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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.
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Search open access data collections
Online open access data repositories are the preferred storage locations for ready4 model datasets.
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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.
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Ingest, label and share model data
The ready4use R package provides tools for supplying data to model modules.
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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.
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Framework library descriptions
There are two types of framework libraries - a foundational library and libraries of authoring tools.
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ready4 PharmacoEconomics article
The ready4 framework is introduced in an article from the PharmacoEconomics journal.
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ready4 is now on CRAN
Announcing the first CRAN release of the ready4 library.
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Introducing ready4 framework modules and syntax
Announcing the introduction of a novel approach to developing modular models with a simple, consistent syntax.