Thread by @seabbs

1. First release of {#idmodelr} is now on CRAN. {idmodelr} is a library of #infectiousdisease models and utilities for using them. Use case is exploration/education/research + signposting.

bit.ly/idmodelr

#rstats #epitwitter #dynamics #opensource #openscience

2. Current status is WIP with more features - and additional models - planned. Contributions much appreciated!

Planned features: github.com/seabbs/idmodel…

3. {#idmodelr} has an accompanying #shiny app that demos some of the functionality and can be used as a standalone tool for exploring infectious disease models.

See here: github.com/seabbs/explore…

4. Start exploring infectious disease models with {#idmodelr} and #rstats in the #browser now using @mybinderteam (no #shiny :( - fixes?)

Binder: mybinder.org/v2/gh/seabbs/i…

5. Other great resources are available for infectious disease modelling. See below for some signposting. Please contribute any other resources (with an #rstats focus) that you have found useful.

samabbott.co.uk/idmodelr/artic…

#epimodel #openscience

6. Thanks to all the volunteers at CRAN for contributing their time! #rstats

CRAN link: cran.r-project.org/package=idmode…

7. Needed 2 resubmissions compared to a single submission for #getTBinR. CRAN policies change over time and it's clear that I needed to check them more thoroughly this time around! #rstats

8. Thanks to @fmic_ for the {foghorn}📦. Having some idea what is going on behind the scenes with CRAN is great. #rstats

@fmic_ 9. Long term aim is to turn {#idmodelr} into a one stop - #opensource - shop for learning about #infectiousdisease modelling in #rstats. Far too many hard to access resources out there + knowledge siloing.