found bug in VectorizedRNG, back to default. Also reran intervals model, and now should rerun model fitting.

new output plots, alert mechanic bug fixed and mechanic changed to give alerts if coin flips exceed notification_threshold

add univariate snensitivity plots, some output code, added the model size and length to parameter tuple. New output is in /CovidAlertVaccinationModel/plots/univariate

added tests to ZeroWeightedDistributions, removed vector rand function cause it was wrong, but we don't use it in the simulations anyway

app dynamics and opinion dynamics done, I think? people seem to rapidly switch opinions which is probably wrong

merge IntervalsModel into CovidAlertVaccinationModel, dependecies are too tight to manage as too packages easily

removed LTC/HCW stuff, contact generation needs fixing, use bytearrays instead of bitarrays for weights

Seperated Zeroweighteddistributions into its own package, implemented WS/Rest functions, although fitting doesn't work too well yet

more performance improvements to network generation, contact distributions now depend on google mobility data

performance improvements: removed sum calc in bipartite sampling, array-specialized ZWDist sampling, ensured union splitting for mixing distribution matrices