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Hello I am running a project but I encounter a problem . I would be happy to receive help : problem: I have a binary dependent variable and some covariates logit(y)=a+bx+cz . I want to estimate the score vectors and their covariance by the usage of logit function and so glm in R .The vlaue of one of the coefficient ( like b) is known previously and I want to extract a and c and covariance

Hello ; I am doing a regression of count data (number of award and there are some covariates) I have estiamted the parameters of negative binomial distribuion (lambda is a function of covaraites, GLM model) by glm.nb function and training dataset. Now I want to predict the number of award (for example y=0, y=1, y=2,) or testing dataset. I dont know how to calculate this numbers? I would be very

Hello; Does anybody knows that R have a function for Generelized Negative Binomial model, something like "gnbreg" in "STATA" where dispersion parameter itself is a function of covaraites ? Thanks; [[alternative HTML version deleted]]

Hello everyone, I am doing the hypothesis test and I need the score vector of each iteration in glm (family=binomial); how could I do it. I tried trace option but it gives me just AIC of each iteration nothing more. thanks; [[alternative HTML version deleted]]

Hello , I need to estimate the parameters of generalized poisson regression model. I found that I could use : vglm(formula, family,.., data), but I dont know how to interpret the output!!! min 1Q Median 3Q Max elogit (lambda) -.66 -.61 -.46 -.06 35.33 log(theta) -10.2 -.02 .11 .64 1.2