R/eta.R
gr_eta_lasso_fullrank.Rdgr_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 |