rCondHurdle210: Sample from the full conditional distribution

In amcdavid/HurdleNormal: 'Estimation and sampling for multi-dimensional Hurdle models on a Normal density with applications to single-cell co-expression'

Sample from the full conditional distribution

Description

Return a sample from f(x_i | x_-i), that is, a sample of the conditional distribution of the ith coordinates, given x aside from x_i.

Usage

rCondHurdle210(x, j, G, H, K, tol = 5e-04)

Arguments

x	vector, or matrix, to be conditioned upon.
j	coordinate to be returned
G	binary dependence matrix
H	location dependence matrix
K	precision matrix
tol	tolerance for calling a point to be numerically equal to zero.

Details

x is assumed in the same order as the parameter vectors, aside from its missing ith element. This function is vectorized over x.

Value

numeric sample from x_i | x_-i

amcdavid/HurdleNormal documentation built on May 14, 2022, 11:12 p.m.