ready4 – Use - choice modelling

Docs: Examples

Thu, 05 Jan 2017 00:00:00 +0000

An scientific summary of the ready4 prototype software framework and its early application in youth mental health is available as an open-access article in PharmacoEconomics.

Additional information is available from the project website of readyforwhatsnext - a modular and open source economic model of youth mental health.

Docs: Model youth choices

Thu, 05 Jan 2017 00:00:00 +0000

Docs: Design a Discrete Choice Experiment

Thu, 05 Jan 2017 00:00:00 +0000

This below section embeds a PDF version of an R Markdown program. The following alternative options may provide improved viewing experience, more contextual information and access to more useful code formats:

Docs: Develop choice models

Tue, 11 Jul 2023 00:00:00 +0000

This below section renders a vignette article from the mychoice library. You can use the following links to:

view the vignette on the library website (adds useful hyperlinks to code blocks)
view the source file from that article, and;
edit its contents (requires a GitHub account).

library(mychoice)
#> The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
#> which was just loaded, will retire in October 2023.
#> Please refer to R-spatial evolution reports for details, especially
#> https://r-spatial.org/r/2023/05/15/evolution4.html.
#> It may be desirable to make the sf package available;
#> package maintainers should consider adding sf to Suggests:.
#> The sp package is now running under evolution status 2
#>      (status 2 uses the sf package in place of rgdal)

The tools in mychoice are designed to make it easier to develop and use choice models with ready4 - an open source health economic model of the systems shaping mental health and wellbeing in young people.

This development version of the mychoice package has been made available as part of the process of testing and documenting the package.

Currently there are no vignettes available. However, examples of the application of mychoice functions to a real world discrete choice experiment are in programs available at https://doi.org/10.5281/zenodo.6626256 (design of a discrete choice experiment survey) and https://doi.org/10.5281/zenodo.7223286 (analysis of discrete choice experiment survey responses). PDF versions of each program, along with the artefacts produced by each are available in the online dataset at https://doi.org/10.7910/DVN/VGPIPS.

Docs: Analyse the results of a Discrete Choice Experiment

Thu, 05 Jan 2017 00:00:00 +0000

Docs: Make results summary for a Discrete Choice Experiment

Thu, 05 Jan 2017 00:00:00 +0000

This below section reproduces the README file of an R Markdown sub-routine. The following alternative options may provide more contextual information and access to more useful code formats:

Report results from a Discrete Choice Experiment implemented with the mychoice R package.

Suggested citation (bibTeX):

@software{hamilton_matthew_2022_6931146, author = {Hamilton, Matthew}, title = {{mychoice_results: Report results from a Discrete Choice Experiment implemented with the mychoice R package}}, month = nov, year = 2022, note = {{Matthew Hamilton (2022). mychoice_results: Report results from a Discrete Choice Experiment implemented with the mychoice R package. Zenodo. https://doi.org/10.5281/zenodo.7297904. Version 0.1.0.0}}, version = {0.1.0.0}, doi = {10.5281/zenodo.7297904}, url = {https://doi.org/10.5281/zenodo.7297904} }