missvals {mvnmle} | R Documentation |
The missvals
data frame has 13 rows and 5 columns.
These are data from Draper and Smith (1968), and are included to
demonstrate ML estimation of mean and variance-covariance parameters of
multivaraite normal data when some observations are missing.
This data frame contains the following columns:
numeric vectors
These data constitute Table 6.4 in Little and Rubin (1987). They are analyzed both in Rubin (1976) and Little and Rubin (1987).
Draper, N. R., and Smith, H. (1968). Applied Regression Analysis. New York: Wiley.
Little, R. J. A., and Rubin, D. B. (1987) Statistical Analysis with Missing Data. New York: Wiley.
Rubin, D. B. (1976) Comparing regressions when some predictor variables are missing. Psychometrika 43, 3–10.
library(mvnmle) data(missvals) mlest(missvals, iterlim=400)