Set up a spatial prior
set_SAR( lambda_a = 1.01, lambda_b = 1.01, lambda = 0, lambda_scale = 0.1, lambda_min = -1, lambda_max = 1 - 1e-12, delta_a = 1.01, delta_b = 1.01, delta = 1, delta_scale = 0, delta_min = 1e-12, delta_max = Inf ) set_SLX( lambda_a = 1.01, lambda_b = 1.01, lambda = 0, lambda_scale = 0.1, lambda_min = -1, lambda_max = 1 - 1e-12, delta_a = 1.01, delta_b = 1.01, delta = 1, delta_scale = 0, delta_min = 1e-12, delta_max = Inf ) set_SEM( lambda_a = 1.01, lambda_b = 1.01, lambda = 0, lambda_scale = 0.1, lambda_min = -1, lambda_max = 1 - 1e-12, delta_a = 1.01, delta_b = 1.01, delta = 1, delta_scale = 0, delta_min = 1e-12, delta_max = Inf )
lambda_a, lambda_b
: Numeric scalars with the prior shapes of the connectivity strength 'lambda'.lambda, delta
: Numerics with starting values for the respective parameter.lambda_scale
: Numeric scalar with the proposal scale of 'lambda'.lambda_min, lambda_max
: Numeric scalars with upper and lower bounds for 'lambda'.delta_a, delta_b
: Numeric scalars with the prior shapes of the connectivity parameter 'delta'.delta_scale
: Numeric scalar with the proposal scale of 'delta'. Defaults to zero for a fixed value.delta_min, delta_max
: Numeric scalars with upper and lower bounds for 'delta'.Returns a list with priors and settings.
Useful links