PRML filter: Bayes factor of Poisson versus Poisson mixtures.

prml_filter(xs_bn, n_gq = 20, n_per = 100, alpha = 0.5)

Arguments

xs_bn	A vector. Spike counts of repeated single-stimulus trial data.
n_gq	A number. 20 by default. Number of grids in Gaussion quadrature.
n_per	A number. 100 by default. Permutation of likihood estimation to obtain the order-invariant estimator.
alpha	0.5 by default. The range of the spike counts estimator $[Y_{0.25}-\alpha IQR,Y_{0.75}+\alpha IQR]$

A number. Bayes factor of Poisson versus Poisson mixtures by PRML algorithm.