Go to file
Meng Li 3d0d062491 Fix HR summary bug: do not consider rows with restinghr=0 2021-02-01 17:29:30 -05:00
.github Docker repo only builds on release 2021-01-07 17:16:01 -05:00
data Refactor day segments to time segments 2020-12-02 18:41:03 -05:00
docs Update docs/faq.md 2021-02-01 16:12:57 -05:00
example_profile v0.3.1 2020-12-21 16:30:46 -05:00
models First commit 2019-10-22 13:11:01 -04:00
notebooks First commit 2019-10-22 13:11:01 -04:00
references First commit 2019-10-22 13:11:01 -04:00
renv v0.3.1 2020-12-21 16:30:46 -05:00
reports Add restore_sql_file rule; notsummarised module; diff platforms for heatmap_days_by_sensors 2020-08-03 13:09:16 -04:00
rules Add error msg for invalid phone data yield sensors 2021-01-14 14:31:40 -05:00
src Fix HR summary bug: do not consider rows with restinghr=0 2021-02-01 17:29:30 -05:00
tests Updated battery feature and its testing for periodic 2021-01-31 20:24:43 -05:00
tools Update docs, add renv and conda cache,& release CI 2020-12-20 13:54:31 -05:00
.Rprofile Add Travis CI 2020-05-18 19:24:34 -04:00
.gitignore Refactor day segments to time segments 2020-12-02 18:41:03 -05:00
Dockerfile Add libglpk40 dependency 2021-01-05 19:24:49 -05:00
LICENSE Update LICENSE 2020-03-10 16:52:23 -04:00
README.md Add release and test badges 2020-12-18 11:03:58 -05:00
Snakefile Fix bug when no error message was displayed for an empty `[PHONE_DATA_YIELD][SENSORS]` when resampling location data 2021-01-27 17:12:53 -05:00
code_of_conduct.md Add code of conduct 2020-11-30 13:51:05 -05:00
config.yaml Add ALL_RESAMPLED flag and accuracy limit 2021-01-14 14:34:25 -05:00
environment.yml Update virtual envs 2020-12-18 14:06:28 -05:00
mkdocs.yml Add code so new feature providers can be added for the new four sensors 2021-01-14 14:31:40 -05:00
rapids remove .py ext from rapids.py 2020-10-28 16:59:19 -04:00
renv.lock Update virtual envs 2020-12-18 14:06:28 -05:00

README.md

GitHub release (latest SemVer) Snakemake Documentation Status tests Contributor Covenant

RAPIDS

Reproducible Analysis Pipeline for Data Streams

For more information refer to our documentation

By MoSHI, University of Pittsburgh