ready4-dev Goto Github PK
Name: ready4
Type: Organization
Bio: A suite of authoring, modelling and prediction tools for exploring topics in young people's mental health
Location: Melbourne, Australia
Name: ready4
Type: Organization
Bio: A suite of authoring, modelling and prediction tools for exploring topics in young people's mental health
Location: Melbourne, Australia
A program to generate a synthetic (fake) dataset that can be used to demonstrate a utility mapping study algorithm
A program to illustrate how to make predict AQoL-6D utility using mapping models
ready4 modules for modelling Australian geometry and spatial attribute data
Initial elements of a program to generate a synthetic representation of Australian Households in 2009
Tools for applying budget impact analysis to projects developed with the ready4suite
Tools for unit costing in health economic analysis
Self-documenting analysis program for a discrete choice experiment exploring the online help-seeking preferences of socially anxious young people
HTML choice cards for use in pilot and final Discrete Choice Experiment (DCE) surveys of socially anxious young people
An R Markdown program to create the experimental design for a social anxiety online help seeking choice Discrete Choice Experiment (DCE)
Preliminary aspects of a future R package for creating synthetic populations
Explore heterogeneity in quality of life data
Template Markdown Files To Generate Outline Of A Scientifc Summary Manuscript
Model Youth Choice Behaviours Using The Ready4 Framework
An RMarkdown program for generating a results summary of Discrete Choice Experiments implemented with the mychoice R package
Foundation library of ready4 software framework for transparent, reusable and updatable health economic models.
Methods to standardise and streamline approach to creating S3 and S4 classes and associated getters and setters for use in the readyforwhatsnext data synthesis and simulation suite.
Tools to implement reproducible workflows for authoring and documenting code libraries used in mental health data synthesis and simulation projects
Help files for ready4 framework and readyforwhatsnext model
Toolkit for authoring R packages that extend the ready4 framework for open, modular mental health systems models.
Tools for implementing replicable workflows to share insights into projects developed with the ready4 suite
Data management tools for use with the ready4 suite of mental health synthesis and simulation tools
Website of the ready4 suite of tools for data synthesis and modelling in mental health
Work in progress of Docsy site for readyforwhatsnext model
Modelling measures for rebuilding mental capital post COVID
Derive summary scores from instrument responses for measures used in open and modular mental health systems models
Specify Models For Investigation As Candidates For Open And Modular Mental Health System Models
Tools for developing and sharing algorithms to map measures routinely collected in mental health services to health utility.
Preliminary exploratory efforts in developing a complete study program for a cross sectional utility mapping study
Complete study program to develop, share and report models that map mental health outcome measures to AQoL-6D health utility
Markdown files to produce a template scientific summary of an analysis of longitudinal data performed with the TTU R package
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.