Installing tools for authoring computational models
Instructions for installing the ready4class, ready4fun and ready4pack libraries.
Tag: Framework - authoring tools
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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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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Authoring model data structures
The ready4class R package supports partially automated and standardised workflows for defining the data structures to be used in 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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Authoring model algorithms
The ready4fun R package supports standardised approaches to code authoring that facilitate partial automation of the documenting of model algorithms.
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Dissemating citable, documented and quality assured model module libraries
ready4 supports tools to streamline the testing, description and distribution of computational model modules.
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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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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.