miss.lm.fit {misaem} | R Documentation |
This function is used inside miss.lm
to fit linear regression model with missing values, by EM algorithm.
miss.lm.fit(x, y, control = list())
x |
design matrix with missingness |
y |
response vector |
control |
a list of parameters for controlling the fitting process. For |
a list with following components:
coefficients |
Estimated |
ll |
Observed log-likelihood. |
s.resid |
Estimated standard error for residuals. |
s.err |
Standard error for estimated parameters. |
mu.X |
Estimated |
Sig.X |
Estimated |
## For examples see example(miss.lm)