ee.glm {ELCIC} | R Documentation |
Estimating equation for ELCIC under GLM
Description
A specified estimating equation for ELCIC under GLM. This estimating equation is used for marginal mean selection.
Usage
ee.glm(x, y, beta, dist)
Arguments
x |
A matrix containing covariates. The first column should be all ones corresponding to the intercept. See more details in |
y |
A vector containing outcomes. |
beta |
A plug-in estimator solved by an external estimating procedure. |
dist |
A specified distribution. It can be "gaussian", "poisson",and "binomial". |
Value
A matrix containing values of calculated estimating equations.
Note
"x" and "y" should be all observed.
Examples
## tests
# load data
data(glmsimdata)
x<-glmsimdata$x
y<-glmsimdata$y
# obtain the estimates. Note that x matrix already contains intercept.
fit<-glm(y~x-1,family="poisson")
beta<-fit$coefficients
ee.matrix<-ee.glm(x, y, beta, dist="poisson")
apply(ee.matrix,1,mean)
[Package ELCIC version 0.2.1 Index]