LSBP_density: Conditional density for a LSBP model

Description Usage Arguments Details

Description

Evaluate the conditional density of a LSBP given the parameters.

Usage

1
LSBP_density(y, X1, X2, beta, alpha, tau)

Arguments

y

A value of which the conditional density has to be computed

X1

A n x p_kernel design matrix for the kernel

X2

A n x p_mixing design matrix for the stick-breaking weights

beta

A H x p_kernel dimensional matrix of coefficients for the linear predictor of the kernel

alpha

A H-1 x p_mixing dimensional matrix of coefficients for the linear predictor of the stick-breaking weights

tau

A H dimensional vector of coefficients for the kernel precision

Details

The function LSBP_density evaluates the conditional density of y given the parameters


blindedmanuscript/LSBP documentation built on May 13, 2019, 8:23 a.m.