Model module libraries
Categories:
readyforwhatsnext model modules 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, readyforwhatsnext model modules are developed and distributed as libraries of modules.
The three types of readyforwhatsnext 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.
A table summarising currently available readyforwhatsnext module
libraries can be retrieved from an online repository by using the
get_libraries_tb function from the ready4 framework
library.
library(ready4)libraries_tb <- get_libraries_tb() %>% update_libraries_tb(include_1L_chr = "modules")#make_libraries_tb("modules")Module libraries are thematically grouped under one of four
“sub-models” of readyforwhatsnext, one each for modelling People
(collectively, the “Spring To Life” sub-model), Places (the
“Springtides” sub-model), Platforms
(collectively, the “First Bounce” sub-model) and Programs (the “On
Target” sub-model). We can use the print_packages function
to display the module libraries currently available for each section
(currently, there are no publicly available libraries of
readyforwhatsnext modules for modelling platforms).
Module libraries for modelling people
print_packages(libraries_tb %>% dplyr::filter(Section == "People"))| Type | Package | Purpose | Documentation | Code | Examples |
|---|---|---|---|---|---|
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Describe and Validate Youth Mental Health Dataset Variables | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 12, 13 |
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Score Multi-Attribute Utility Instruments | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 14, 15 |
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Model Youth Choice Behaviours | 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 | 16 |
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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 Models to Solve Inverse Problems | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 17 |
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Transform Youth Outcomes to Health Utility Predictions | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 18 |
Module libraries for modelling places
print_packages(libraries_tb %>% dplyr::filter(Section == "Places"))| Type | Package | Purpose | Documentation | Code | Examples |
|---|---|---|---|---|---|
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Model Australian Spatial Data | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | |
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Model Spatial Features of Health Systems | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive |
Module libraries for modelling programs
print_packages(libraries_tb %>% dplyr::filter(Section == "Programs"))| Type | Package | Purpose | Documentation | Code | Examples |
|---|---|---|---|---|---|
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Undertake Health Economic Budget Impact Analysis. | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | |
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Develop, Use and Share Unit Cost Datasets for Health Economic | Citation , Website , Manual - Short (PDF) , Manual - Full (PDF) | Dev , Archive | 19, 20 |