`bucky.model.estimation`#

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

Module Contents#

Functions#

`estimate_Rt`(g_data, generation_interval, E_gamma_k, days_back=7, case_reporting=None)	Estimate R_t from the recent case data.
`estimate_cfr`(g_data, base_CFR, case_to_death_time, Rh_gamma_k, S_age_dist, days_back=7)	Estimate CFR from recent case data.
`estimate_chr`(g_data, base_CHR, I_to_H_time, Rh_gamma_k, S_age_dist, days_back=7)	Estimate CHR from recent case data.
`estimate_crr`(g_data, case_to_death_lag, ifr, 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.

bucky.model.estimation.estimate_Rt(g_data, generation_interval, E_gamma_k, days_back=7, case_reporting=None)[source]#: Estimate R_t from the recent case data.

bucky.model.estimation.estimate_cfr(g_data, base_CFR, case_to_death_time, Rh_gamma_k, S_age_dist, days_back=7)[source]#: Estimate CFR from recent case data.

bucky.model.estimation.estimate_chr(g_data, base_CHR, I_to_H_time, Rh_gamma_k, S_age_dist, days_back=7)[source]#: Estimate CHR from recent case data.

bucky.model.estimation.estimate_crr(g_data, case_to_death_lag, ifr, 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.