mice.impute.norm.boot(y, ry, x, ridge = 1e-05, ...)nFALSE=missing, TRUE=observed)n x p) of complete
covariates.nmis with imputations.x[ry,] and
y[ry], calculates regression weights and imputes
with normal residuals. The ridge parameter adds a
penalty term ridge*diag(xtx) to the
variance-covariance matrix xtx.mice: Multivariate Imputation by Chained Equations
in R. Journal of Statistical Software,
45(3), 1-67.