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Model module libraries
Categories:
Computational models developed with ready4 are intended to be both transferable (they are tools that can be used in multiple decision contexts) and modular (they are comprised of self-contained components, each of which performs a narrow sub-set of tasks). For these reasons, ready4 computational models are developed and distributed as libraries of modules.
The three types of computational module libraries are:
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- modules for describing and quality assuring model data;
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- modules to specify, assess and report statisitical models; and
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- modules for making predictions.
Currently available libraries of computational model modules are summarised below.
| Type | Package | Purpose | Documentation | Code | Examples |
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Describe and Validate Ready4 Person Record Datasets | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 1, 2 |
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Score Ready4 Model Datasets | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 3, 4 |
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Model Youth Choice Behaviours with Ready4 | Citation , Website , Citation | Dev , Archive | |
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Implement Transfer to Utility Mapping Algorithms | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 5 |
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Explore and Characterise Heterogeneity in Quality of Life Data | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | |
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Specify Inverse Problems to Solve with Ready4 | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 6 |
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Transform Youth Outcomes to Health Utility Predictions with Ready4 | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 7 |