mice.impute.mean {mice} | R Documentation |
Imputes the arithmetic mean of the observed data
mice.impute.mean(y, ry, x=NULL)
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. |
value{
A vector of length nmis with imputations.}
A vector of length nmis with imputations.
Imputing the mean of a variable rarely produces appropriate inferences. See Little and Rubin (1987).
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.
Little, R.J.A. and Rubin, D.B. (1987). Statistical Analysis with Missing Data. New York: John Wiley and Sons.