susie_suff_stat
R/compute_ss.R
compute_suff_stat.Rd
Computes the sufficient statistics \(X'X, X'y, y'y\) and \(n\) after centering (and possibly standardizing) the columns of \(X\) and centering \(y\) to have mean zero. We also store the column means of \(X\) and mean of \(y\).
compute_suff_stat(X, y, standardize = FALSE)
An n by p matrix of covariates.
An n vector.
Logical flag indicating whether to standardize columns of X to unit variance prior to computing summary data
A list of sufficient statistics (XtX, Xty, yty, n
)
and X_colmeans
, y_mean
.
data(N2finemapping)
ss = compute_suff_stat(N2finemapping$X, N2finemapping$Y[,1])