miss.glm.fit {misaem} | R Documentation |
This function is used inside miss.glm
to fit logistic regression model with missing values, by algorithm SAEM.
miss.glm.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. |
var.covar |
Variance-covariance matrix for estimated parameters. |
s.err |
Standard error for estimated parameters. |
mu.X |
Estimated |
Sig.X |
Estimated |
## For examples see example(miss.glm)