Thank you very much!!!
Отправлено со смартфона -------- Исходное сообщение -------- От: Achim Zeileis <achim.zeil...@uibk.ac.at> Дата: 2015.10.08 19:55 (GMT+03:00) Кому: "Сергей С." <sal...@gmail.com> Cc: r-help@r-project.org Тема: Re: [R] use of PPML (Poisson Pseudo Maximum Likelihood) On Thu, 8 Oct 2015, ?????? ?. wrote: > Dear Colleagues! > > > We use R for research. We would like to perform calculations (gravity model > of trade) with the > ?? > use of PPML (Poisson Pseudo Maximum Likelihood). > > Please explain: > > 1. What package in R enables us to make calculations in accordance with the > PPML? > > We used the command > glm() Yes. > with the parameter > > family=quasipoisson(link="log"). That is one option. In econometrics, the quasi-Poisson version is less commonly used than in statistics, though. Alternatively, so-called "robust" sandwich standard errors can be applied, i.e., m <- glm(..., family = poisson) library("lmtest") library("sandwich") coeftest(m, vcov = sandwich) > Does this command procedure PPML? If not, then what command allows us to > use PPML? > > 2. For calculations using a linear model the quality factor is R^2. What > is the analogue of this indicator for PPML in system R? That is not really an R question. Sometimes people use pseudo-R-squared measures, e.g., available in package "pscl". Whether or not this is really useful is a different question, though. > Thank you very much in advance! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.