L_mixsq: Compute likelihood matrix for mixsqp

In stephenslab/susiF.alpha: Sum of Single Functions

Compute likelihood matrix for mixsqp

Description

Compute likelihood matrix for mixsqp

Usage

L_mixsq(G_prior, Bhat, Shat, indx_lst, ...)

## S3 method for class 'mixture_normal'
L_mixsq(G_prior, Bhat, Shat, indx_lst, is.EBmvFR = FALSE, ...)

## S3 method for class 'mixture_normal_per_scale'
L_mixsq(G_prior, Bhat, Shat, indx_lst, is.EBmvFR = FALSE, ...)

Arguments

G_prior	mixture normal prior
Bhat	matrix pxJ regression coefficient, Bhat[j,t] corresponds to regression coefficient of Y[,t] on X[,j]
Shat	matrix pxJ standard error, Shat[j,t] corresponds to standard error of the regression coefficient of Y[,t] on X[,j]
indx_lst	list generated by gen_wavelet_indx for the given level of resolution, used only with class mixture_normal_per_scale
...	Other arguments.

Value

See L argument mixsqp package mixsqp function

stephenslab/susiF.alpha documentation built on March 1, 2025, 4:28 p.m.