bucky.model.mc_instance

Provides a class that contains all the data/info needed to perform one full integration.

Module Contents

Classes

buckyMCInstance

Class that holds basic information and provides helper variables needed to perform an MC.

Functions

norm_Cij(Cij)

Sum a stack of contact matrices to get the overall Cij thats symmetrized then normalized.

class bucky.model.mc_instance.buckyMCInstance(init_date, n_days, Nij, Cij)

Class that holds basic information and provides helper variables needed to perform an MC.

property Aij(self)

Adj matrix property.

BETA_eff(self, t)

Return effective value of BETA after time dependent changes.

Cij(self, t)

Return the contact matrices after applying time dependent changes.

S_eff(self, t, y)

Return the effective of susceptable (S_ij) after applying time dependent modifications.

add_npi(self, npi_params)

Enable dynamic NPIs during the time integration.

add_vacc(self, vacc_data)

Enable vaccine simulation during the simulation.

property epi_params(self)

Epi parameters property.

property integrator_args(self)

Dict of standard arguments passed to solve_ivp.

set_tmax(self, t_max)

Set a new value for the max integration time.

property state(self)

State variable property.

bucky.model.mc_instance.norm_Cij(Cij)

Sum a stack of contact matrices to get the overall Cij thats symmetrized then normalized.

bucky.model.main bucky.model.npi