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.
http://www.jstatsoft.org/v45/i03/