bucky.model.estimation

Submodule that manages some of the calculations for estimating params from the historical data

Module Contents

Functions

estimate_Rt(g_data, params, days_back=7, case_reporting=None)

Estimate R_t from the recent case data

estimate_cfr(g_data, params, S_age_dist, days_back=7)

Estimate CFR from recent case data

estimate_chr(g_data, params, S_age_dist, days_back=7)

Estimate CHR from recent case data

estimate_crr(g_data, params, cfr, days_back=14, case_lag=None, min_deaths=100.0, S_dist=1.0)

Estimate the case reporting rate based off observed vs. expected CFR

estimate_doubling_time(g_data, days_back=7, doubling_time_window=7, mean_time_window=None, min_doubling_t=1.0, case_reporting=None)

Calculate the recent doubling time of the historical case data

bucky.model.estimation.estimate_Rt(g_data, params, days_back=7, case_reporting=None)[source]

Estimate R_t from the recent case data

bucky.model.estimation.estimate_cfr(g_data, params, S_age_dist, days_back=7)[source]

Estimate CFR from recent case data

bucky.model.estimation.estimate_chr(g_data, params, S_age_dist, days_back=7)[source]

Estimate CHR from recent case data

bucky.model.estimation.estimate_crr(g_data, params, cfr, days_back=14, case_lag=None, min_deaths=100.0, S_dist=1.0)[source]

Estimate the case reporting rate based off observed vs. expected CFR

bucky.model.estimation.estimate_doubling_time(g_data, days_back=7, doubling_time_window=7, mean_time_window=None, min_doubling_t=1.0, case_reporting=None)[source]

Calculate the recent doubling time of the historical case data