search for: nbreg

Hi, Can someone tell me if it is possible to set the dispersion parameter constant when fitting a negative binomial glm in R? I've looked at the documentation and can't find the appropriate argument to pass. In STATA I can type: nbreg depvar [indepvar...], offset(offset) dispersion(constant). Thank you [[alternative HTML version deleted]]

...in that you can produce robust standard errors using sandwich estimators, to control for the fact there is a correlation structure within each subjects set of visits. This function is reasonably straight forward, however I'm trying to find something similar in R. http://www.stata.com/help.cgi?nbreg http://www.stata.com/help.cgi?vce_option I'll admit I'm not all that familiar with the inner workings of these functions but am learning about them. glm.nb gives the same coefficients as nbreg in stata which is reassuring, but I haven't yet found the same adjustment that vce is doing....

Hello, I am trying to run a negative binomial regression model in R and can't get the standard errors to match the output I get from the Stata nbreg command. I've tried a few different options but haven't had much luck. The closest I've found is: gamlss(formula, family = NBI, sigma.formula = ~ 1,data=dataframe) ...But this is still a little off most of the time and pretty far off at other times (compared with the Stata output). Th...

...project.org Objet : [R] Dispersion parameter in Neg Bin GLM Hi, Can someone tell me if it is possible to set the dispersion parameter constant when fitting a negative binomial glm in R? I've looked at the documentation and can't find the appropriate argument to pass. In STATA I can type: nbreg depvar [indepvar...], offset(offset) dispersion(constant). Thank you [[alternative HTML version deleted]] ______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-pro...

...lts that they report. In the Stata output, they report alpha, same as 1/theta from the R glm.nb output. Except for minor differences in standard errors, only the intercept estimates markedly differ. Can anybody explain this? ----------------------------------------------------------- Stata: nbreg daysabs gender mathnce langnce Negative binomial regression Number of obs = 316 LR chi2(3) = 20.74 Prob > chi2 = 0.0001 Log likelihood = -880.87...

Hola Javier, Si, cuando hablo de valor observado me refiero al valor real en campo y el predicho al que estiman los modelos. Disculpa, que no lo detallase así desde el principio. En mi caso trabajo con dos diferentes: Zero inflated y Binomial Negativo y me gustaría comprobar que diferencia (distancia) existe entre cada uno de ellos y la realidad. Estoy trabajando con los siguientes paquetes: