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Peter Jentsch
CovidAlertABM
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05054fd626cec2db51933c27fb3318df3634507d
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count assortativity at pre-season
master
master
Merge branch 'master' of https://git.uwaterloo.ca/pjentsch/covidalertabm
assortavity heatmaps
initial weighted degree implementation
Update CovidAlertVaccinationModel/data/canada-network-data/POLYMOD/Duration-priors.py
Update CovidAlertVaccinationModel/data/canada-network-data/POLYMOD/Duration-priors.py, CovidAlertVaccinationModel/data/canada-network-data/POLYMOD/AALPoisPriors.csv files
Deleted CovidAlertVaccinationModel/data/canada-network-data/POLYMOD/AALPoisPriors.csv, CovidAlertVaccinationModel/data/canada-network-data/POLYMOD/Duration-priors.py files
Merge branch 'master' of https://git.uwaterloo.ca/pjentsch/covidalertabm
Update CData.py
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Merge branch 'master' of https://git.uwaterloo.ca/pjentsch/covidalertabm
Add new directory
update deps
new-graph-idea-2
new-graph-idea-2
update deps
univariate again
univariate
fix rebase
duration tests
univariate redo
univariate plots
stop resampling degrees
fix up rebase
graph idea final
initial implementation
redo community intervals simulations
community intervalsmodel run
join counts redux
initial assortativity run
upgrade deps
duration tests
readme updates so HR ppl know what this does
use app parameters in univariate
use app parameters in univariate
fix perf test
switch back to poissoncountsampler, much faster
readme update
make sure tests pass, clean up repo
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