gr_eta_lasso_fullrank: Functions related to eta parameter used in optim and kkt...
In sahirbhatnagar/penfam: Variable Selection in Linear Mixed Models for SNP Data

Used for gradient of eta. Currently being passed to optim in lmmlasso and used in kkt_check

1
2
3

gr_eta_lasso_fullrank(eta, sigma2, beta, eigenvalues, x, y, nt)

fn_eta_lasso_fullrank(eta, sigma2, beta, eigenvalues, x, y, nt)

`eta`	current estimate of the eta parameter
`sigma2`	current estimate of the sigma2 parameter
`beta`	current estimate of the beta parameter including the intercept. this should be of length p+1, where p is the number of variables.
`eigenvalues`	non-zero eigenvalues of the kinship matrix, or the square of the singular values of the matrix used to construct the kinship matrix
`x`	input matrix, of dimension n x p; where n is the number of observations and p are the number of predictors.
`y`	response variable. must be a quantitative variable
`nt`	total number of observations