Dear friends,
  After fitting a generalized linear models ,i hope to get the variance of
alpha,variance of  beta and their covariance, that is , the
variance-covariance matrix/information of alpha and beta , suppose *B* is
the object of GLMs, i use attributes(B) to look for the options ,but can't
find it, anybody knows how to get it?

> attributes(B)
$names
 [1] "coefficients"      "residuals"         "fitted.values"
"effects"
 [5] "R"                 "rank"              "qr"
"family"
 [9] "linear.predictors" "deviance"          "aic"               "
null.deviance"
[13] "iter"              "weights"           "prior.weights"     "
df.residual"
[17] "df.null"           "y"                 "converged"
"boundary"
[21] "model"             "call"              "formula"
"terms"
[25] "data"              "offset"            "control"
"method"
[29] "contrasts"         "xlevels"

$class
[1] "glm" "lm"

 I appreciate any help/suggestions.


-- 
With Kind Regards,

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Zhi Jie,Zhang ,PHD
Tel:86-21-54237149   epistat@gmail.com
Dept. of Epidemiology,school of public health,Fudan University
Address:No. 138 Yi Xue Yuan Road,Shanghai,China
Postcode:200032
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