Hi Daniel,
Thanks for your reply. The weight is dependent on the estimated E(Y).
In other words, I need R to estimate the beta coefficients and weights
simultaneously, like what is performed in gls(). However, the weight
form allowed in gls() is different from what I want.
In SPSS, we can simply
Dear R Users,
I am new to the mailing list. I posted this message about two hours
ago but did not receive it through the list, so I am posting it again.
Sorry for duplicates.
I would like to use R to fit a Weighted Least Square model for a
binary outcome, say Y. The model is the one widely used
Dear R Users,
I would like to use R to fit a Weighted Least Square model for a
binary outcome, say Y. The model is the one widely used for a binary
dependent variable when the logistic model has not been proposed.
Does anyone know how to specify the weight as the square root of
1/(E(Y)(1-E(Y)) i
Dear R Users,
I would like to use R to fit a Weighted Least Square model for a
binary response variable, say Y. The model is actually the model
widely used for a binary dependent variable when the logistic model
has not been invented. The weight is 1/(E(Y)(1-E(Y)).
Could someone help me out? Tha
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