misaem (version 1.0.1)

miss.glm.fit: Fitting Logistic Regression Models with Missing Values

Description

This function is used inside miss.glm to fit logistic regression model with missing values, by algorithm SAEM.

Usage

miss.glm.fit(x, y, control = list())

Arguments

x

design matrix with missingness \(N \times p\).

y

response vector \(N \times 1\).

control

a list of parameters for controlling the fitting process. For miss.glm.fit this is passed to miss.glm.control.

Value

a list with following components:

coefficients

Estimated \(\beta\).

ll

Observed log-likelihood.

var.covar

Variance-covariance matrix for estimated parameters.

s.err

Standard error for estimated parameters.

mu.X

Estimated \(\mu\).

Sig.X

Estimated \(\Sigma\).

Examples

# NOT RUN {
## For examples see example(miss.glm)
# }