loglik_SFR: Compute log likelihood of single function regression of...

In stephenslab/susiF.alpha: Sum of Single Functions

Compute log likelihood of single function regression of effect l

Description

Compute log likelihood of single function regression of effect l

Usage

loglik_SFR(obj, l, ...)

## S3 method for class 'susiF'
loglik_SFR(obj, l, Y, X, indx_lst, ...)

Arguments

obj	a susiF object defined by init_susiF_obj function
l	effect to update
Y	wavelet transformed phenotype
X	Matrix of covariates
indx_lst	list generated by gen_wavelet_indx for the given level of resolution

Value

The log-likelihood, \log p(Y | X, V), where V is the prior parameters

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