Programs releases
Releases of programs for implementing modelling analyses.
Tag: Software
Subroutine releases
Releases of subroutines used in modelling analyses.
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System requirements
What you need in order to be able to use readyforwhatsnext model software on your machine.
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Finding programs
Programs are used to generate and report a model analysis.
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Installing readyforwhatsnext model modules
To implement a modelling analysis with readyforwhatsnext you need to install model module R libraries.
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People module library releases
Releases of module libraries for modelling people (collectively, the Spring To Life model).
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Places module library releases
Releases of module libraries for modelling places (collectively, the Springtides model).
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Create a synthetic population of young people attending primary mental health services
We created a basic synthetic dataset of to represent a clinical youth mental health sample.
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Model module libraries
Bundles of readyforwhatsnext modules are distributed as R libraries.
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Terms of use
readyforwhatsnext is distributed without warranties under open source licenses - we just ask you to appropriately cite it.
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Add metadata to datasets of individual human records
Appending appropriate metadata to datasets of individual unit records can facilitate partial automation of some modelling tasks. This tutorial describes how a module from the youthvars R package can help you to add metadata to a youth mental health dataset so that it can be more readily used by other readyforwhatsnext modules.
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Executable releases
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Library releases
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Model health utility
Replication programs for developing, finding and applying utility mapping algorithms.
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Model youth choices
Replication programs for designing, analysing and reporting discrete choice experiments.
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Create synthetic populations
Replication programs for constructing synthetic populations.
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Using readyforwhatsnext programs
The code used when applying readyforwhatsnext modules to a number of real world youth mental health policy and research projects is publicly available for review and reuse.
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Validate variable total scores
Vector based classes can be used to help validate variable values. This tutorial describes how to do that with sub-module classes exported as part of the youthvars R package.
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Find open access model data
Tools from the ready4 framework library can be used to search for relevant open access readyforwhatsnext model data collections and datasets.
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Standardise Variable Values With Fuzzy Logic And Correspondence Tables
Costing health economic datasets is an activity that can involve repeated use of lookup tables. This tutorial describes how a module from the costly R package can help you to use a combination of fuzzy logic and correspondence tables to standardise variable values and thus facilitate partial automation of costing algorithms.
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Standardise Variable Values With Lookup Codes
This tutorial describes how a module from the costly R package can help you to use lookup codes to standardise variable values and thus facilitate partial automation of costing algorithms.
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Score health utility
Using modules from the scorz R package, individual responses to a multi-attribute utility instrument survey can be converted into health utility total scores. This tutorial describes how to do for adolescent AQoL-6D health utility.
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Explore candidate utility mapping models
Using modules from the specific R package, it is possible to undertake an exploratory utility mapping analysis. This tutorial illustrates a hypotehtical example of exploring how to map to EQ-5D health utility.
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Implement a utility mapping study
Using modules from the TTU R package, it is possible to implement a fully reproducible utility mapping study. This tutorial illustrates the main steps using a hypothetical AQoL-6D utility mapping study.
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Example 1: Predict health utility from psychological and functional measures (PHQ-9 and SOFAS)
This tutorial illustrates the main steps for predicting AQoL-6D utility from psychological and functional measures using a longitudinal dataset in long format.
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Example 2: Predict health utility from psychological measures (PHQ-9 and GAD-7)
This tutorial illustrates the main steps for predicting AQoL-6D utility from two psychological measures using a longitudinal dataset in wide format.
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Find and deploy utility mapping models
Using tools (soon to be formalised into ready4 modules) from the youthu R package, it is possible to find and deploy relevant utility mapping algorithms.
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Design a Discrete Choice Experiment
We used functions (soon to be formalised into ready4 modules) from the mychoice R package to design to a discrete choice experiment.
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Use utility mapping algorithms to help implement cost-utility analyses
Using tools (soon to be formalised into ready4 framework modules) from the youthu R package, it is possible to use utility mapping algorithms to help implement cost-utility analyses. This tutorial illustrates the main steps for doing so using psychological and functional measures collected on clinical samples of young people.
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Develop choice models
Using tools (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Analyse the results of a Discrete Choice Experiment
Using functions (soon to be formalised into ready4 framework modules) from the mychoice R package, it is possible to develop choice models from responses to a discrete choice experiment survey.
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Predicting the spatial epidemiology of emerging mental disorders
We previously developed a user interface for the epidemiology modules of our Springtides model of places.
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Develop health utility mapping algorithms
Using modules from the TTU, youthvars, scorz and specific libraries, we developed utility mapping algorithms from a sample of young people attending primary mental health care services.
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Predict health utility
Using functions (soon to be formalised into ready4 framework modules) from the youthu R package, we predicted health utility for a synthetic population of young people attending primary mental health care services.
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Subroutines (reporting templates)
Subroutines perform part of an analysis and reporting algorithm.
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Decision aids
User interfaces can make it easier to generate practical insight from readyforwhatsnext model modules.
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Open source licensing
readyforwhatsnext is freely available to all under copy-left licensing arrangements.
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Citing readyforwhatsnext
If you find readyforwhatsnext useful, please cite it appropriately - it is easy to do!
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Disclaimer
readyforwhatsnext is distributed without any warranties.
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Predicting Quality Adjusted Life Years in young people attending primary mental health services
Applying model modules from the Spring To Life model of people to map psychological and functional measures to AQoL-6D health utility
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readyforwhatsnext - conference posters now available
Initial set of academic posters relating to the development of the readyforwhatsnext model.