[R] how to get the variance-covariance matrix/information of alpha and beta after fitting a GLMs?

From: zhijie zhang <epistat_at_gmail.com>
Date: Thu 12 Oct 2006 - 13:56:47 GMT

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)
 [1] "coefficients" "residuals" "fitted.values" "effects"

 [5] "R"                 "rank"              "qr"
 [9] "linear.predictors" "deviance"          "aic"               "

[13] "iter" "weights" "prior.weights" "
[17] "df.null" "y" "converged"
[21] "model" "call" "formula"
[25] "data" "offset" "control"
[29] "contrasts" "xlevels"

[1] "glm" "lm"

 I appreciate any help/suggestions.

With Kind Regards,


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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Received on Fri Oct 13 00:00:58 2006

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