Update docs for Git Flow section & RAPIDS paper info

models
Meng Li 2021-11-19 13:57:10 -05:00
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# Change Log # Change Log
## v1.7.1
- Update docs for Git Flow section
- Update RAPIDS paper information
## v1.7.0 ## v1.7.0
- Add firststeptime and laststeptime features to FITBIT_STEPS_INTRADAY RAPIDS provider - Add firststeptime and laststeptime features to FITBIT_STEPS_INTRADAY RAPIDS provider
- Update tests for Fitbit steps intraday features - Update tests for Fitbit steps intraday features

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## RAPIDS ## RAPIDS
If you used RAPIDS, please cite [this paper](https://preprints.jmir.org/preprint/23246). If you used RAPIDS, please cite [this paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823).
!!! cite "RAPIDS et al. citation" !!! cite "RAPIDS et al. citation"
Vega J, Li M, Aguillera K, Goel N, Joshi E, Durica KC, Kunta AR, Low CA Vega, J., Li, M., Aguillera, K., Goel, N., Joshi, E., Khandekar, K., ... & Low, C. A. (2021). Reproducible Analysis Pipeline for Data Streams (RAPIDS): Open-Source Software to Process Data Collected with Mobile Devices. Frontiers in Digital Health, 168.
RAPIDS: Reproducible Analysis Pipeline for Data Streams Collected with Mobile Devices
JMIR Preprints. 18/08/2020:23246
DOI: 10.2196/preprints.23246
URL: https://preprints.jmir.org/preprint/23246
## DBDP (all Empatica sensors) ## DBDP (all Empatica sensors)

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``` ```
git checkout master git checkout master
git merge --ff-only develop git merge --ff-only develop
git push git push # Unlock the master branch before merging
``` ```
1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_RELEASE]` (remember to add the change log) 1. Release happens automatically after passing the tests
## Release a Hotfix ## Release a Hotfix
1. Pull the latest master 1. Pull the latest master
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``` ```
git checkout master git checkout master
git merge --ff-only v[NEW_HOTFIX] git merge --ff-only v[NEW_HOTFIX]
git push git push # Unlock the master branch before merging
``` ```
1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_HOTFIX]` (remember to add the change log) 1. Release happens automatically after passing the tests

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# Welcome to RAPIDS documentation # Welcome to RAPIDS documentation
Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](analysis/complete-workflow-example.md) your analysis into reproducible workflows. Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](analysis/complete-workflow-example.md) your analysis into reproducible workflows. Check out our [paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823)!
RAPIDS is open source, documented, multi-platform, modular, tested, and reproducible. At the moment, we support [data streams](datastreams/data-streams-introduction) logged by smartphones, Fitbit wearables, and Empatica wearables (the latter in collaboration with the [DBDP](https://dbdp.org/)). RAPIDS is open source, documented, multi-platform, modular, tested, and reproducible. At the moment, we support [data streams](datastreams/data-streams-introduction) logged by smartphones, Fitbit wearables, and Empatica wearables (the latter in collaboration with the [DBDP](https://dbdp.org/)).