mice.impute.pmm {mice} | R Documentation |
Imputes univariate missing data using predictive mean matching
mice.impute.pmm(y, ry, x)
y |
Incomplete data vector of length n |
ry |
Vector of missing data pattern (FALSE=missing, TRUE=observed) |
x |
Matrix (n x p) of complete covariates. |
Imputation of y by predictive mean matching, based on Rubin (p. 168, formulas a and b). The procedure is as follows: begin{enumerate}
imp |
A vector of length nmis with imputations. |
Stef van Buuren, Karin Oudshoorn, 2000
Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.
Rubin, D.B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.