bayespecon.dgp.generate_poisson_flow_data_separable¶

bayespecon.dgp.generate_poisson_flow_data_separable(n=None, k=2, rho_d=0.3, rho_o=0.2, **kwargs)[source]¶

Simulate Poisson flow count data from a separable SAR flow model.

Identical to generate_poisson_flow_data() except the network parameter is derived as \(\rho_w = -\rho_d \rho_o\), so it is not a free argument. Use this function to generate training data for PoissonSARFlowSeparable.

Parameters:¶

n : int, default 10¶

Number of spatial units.

k : int, default 2¶

Number of destination/origin attribute columns.

rho_d : float, default 0.3¶

Destination autocorrelation parameter.

rho_o : float, default 0.2¶

Origin autocorrelation parameter.

**kwargs¶

Forwarded to generate_poisson_flow_data() (e.g. beta_d, beta_o, seed, G).

Returns:¶

Same as generate_poisson_flow_data(). The "rho_w" entry will equal -rho_d * rho_o.

Return type:¶

dict