prml_filter: PRML filter: Bayes factor of Poisson versus Poisson mixtures.

In YunranChen/prml: An Implementation of PRML Classifier and PRML Filter

Description

PRML filter: Bayes factor of Poisson versus Poisson mixtures.

Usage

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}-α IQR,Y_{0.75}+α IQR]

Value

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

YunranChen/prml documentation built on May 16, 2019, 4:06 a.m.