R help - Aug 2014 - Weighted Logistic Regression in R: Can R do what SAS PROC LOGISTIC does?

I wonder if anyone has written some additional R code to perform 
weighted logistic regression in the way of SAS PROC LGOISTIC WEIGHT 
statement. I want to weight the sample using a vector of probabilities 
generated from Dirichlet distribution. 

It is known that the R function glm has a WEIGHT option but it only 
takes a vector of integers which are the number of trials for each 
response. I wonder if anyone has written other R functions to perform 
the same job SAS PROC LGGISTIC WEIGHT statement does?

Here is the post I read at stats.stackexchange.com

Case weighted logistic regression - Cross Validated

  
          
Case weighted logistic regression - Cross Validated
I'm looking at a few logistic regression issues. ("regular" and
"conditional").
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