similar to: Vuong test

Hello, I'm using dovecot 1.2.11 with virtual folders. I'd like to replace my real INBOX by a virtual one but I have several questions : * will my mail still be delivered to my real INBOX? * will I be able to access my real INBOX, for example using a virtual folder reliyng on INBOX * and, how to do it. Here's my problem, if I look to the wiki page [1], I don't really

Dear All, I am using the function vuong from pscl package to compare 2 non nested models NB1 (negative binomial I ) and Zero-inflated model. NB1 <-  glm(, , family = quasipoisson), it is an object of class: "glm" "lm" zinb <- zeroinfl( dist = "negbin") is an object of class: "zeroinfl"   when applying vuong function I get the following: vuong(NB1,

Dear All, I am using the function vuong of the package pscl to compare 2 non nested glm models with a numeric response. I did the following m1<-glm(y ~x ,data=xxx) m2<-glm(y ~z , data=xxx) When calling the vuong function I get the following message: > vuong(m1,m2) Error in predprob.glm(m1) : your object of class glm is unsupported by predprob.glmyour object of class lm is unsupported

I want to compare the poisson and the zero-inflated poisson distribution on describing the data. So, after using the GLM and the ZEROINFL function, I used the Voung function to compare them. Here is my code: library(pscl) glm1 <- glm(nmer9_1[, 1] ~ 1, family = poisson) zip <- zeroinfl(nmer9_1[, 1] ~ 1) vuong(glm1, zip) However, R returns the following error message: "Error: cannot

Hello, I've got some virtual maiboxes that are configured as follows : !RealMail.Sent RealMail.Sent all In all those mailboxes, all the messages appears in double. I don't think it's the expected behaviour, but I perhaps missed something. Here's my dovecot -n : # 1.2.15: /etc/dovecot/dovecot.conf # OS: Linux 2.6.32-bpo.5-amd64 x86_64 Debian 5.0.7 log_timestamp:

Hello again, I'd like to know if there is a way to have subfolders in virtual mailbox? In my virtual namespaces, I have some virtual maiboxes named like this : Mailbox Mailbox.SubMailbox (the separator is '.') But when I try to access the submailbox, depending on my client, it either : - Tells me the mailbox doesn't exists (Roundcube) - Don't show me

I would like to test in R what regression fits my data best. My dependent variable is a count, and has a lot of zeros. And I would need some help to determine what model and family to use (poisson or quasipoisson, or zero-inflated poisson regression), and how to test the assumptions. 1) Poisson Regression: as far as I understand, the strong assumption is that dependent variable mean = variance.

Dear useRs, I'm having troubles with using ylim in barplot(): even though I reduce the y-scale using ylim, the bars still extend down to 0into the x-labels. The sample data is below, and here is the code. #This works fine but I would like to plot only from 50 to 70: barplot(t(mydata), beside=TRUE, col=c("orange", "green", "yellow", "purple"),

Thank you David, That's a nice workaround using plotrix::barp(), but that doesn't explain why ylim doesn't work as intended (or at least, as I expect it to work), or why xpd has no influence when using devEMF::emf()... The problem with saving directly in RStudio is that it requires to manually save the plot, and this becomes troublesome when there are a lot of plot commands in a

If you are using a Windows system, you can Export the plot from RStudio and save it as a metafile without using package devEMF and it will crop the bars with xpd=FALSE. When I used devEMF on a Windows machine, the bars were not cropped with barplot() as you indicated, but when I switched to plotrix::barp() they were cropped. The arguments are a bit different, but I did not need xpd=FALSE:

Hello, I would like to remove some files which have the extension .test for example (data1.test, data2.test ....). Is there another solution to remove them instead of doing it one by one ? Thanks for your help, St?phanie Langevin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Dear All, I am using the function vuong of the package pscl to compare 2 non nested glm models with a numeric response. I did the following m1<-glm(y ~x ,data=xxx) m2<-glm(y ~z , data=xxx) When calling the vuong function I get the following message: > vuong(m1,m2) Error in predprob.glm(m1) : your object of class glm is unsupported by predprob.glmyour object of class lm is unsupported

Dear All, I would like to know if the Voung test (Voung; Econometrica, 1989) to compare two non-nested regression models has been implemented in R. Thanks in advance for your assistance, mirko [[alternative HTML version deleted]]

Buenos días, Os escribo porque ando trabajando con una base de datos "count data" en R y estoy aplicando varios modelos: Quasi Poisson, Negative Binomial, Zero Inflated Models, Tobit y Tobit con Heckman. Me gustaría profundizar en la interpretación de los modelos (coeficientes y parámetros descriptivos de cada modelo) y los test de comparación entre ellos (Test de Vuong, Wald, Log

Hi all, I have a problem. I want to call some function after every 10 minutes. But I don''t it. -- Posted via http://www.ruby-forum.com/. -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to rubyonrails-talk-/JYPxA39Uh5TLH3MbocFF+G/Ez6ZCGd0@public.gmane.org To unsubscribe from this

Dear all, I want to build a model in R based on animal collection data, that look like the following Nr Village District Site Survey Species Count 1 AX A F Dry B 0 2 AY A V Wet A 5 3 BX B F Wet B 1 4 BY B V Dry B 0 Each data point shows one collection unit in a certain Village, District, Site, and Survey for a certain Species. 'Count' is the number of animals collected in that

Ese libro está muy bien (yo me lo he leído de arriba abajo y es muy claro), de lo mejor que hay para introducirte en materia muy deprisa. El curso está bien de apoyo al libro, PERO no incluye nada de lo que indicas que necesitas. Es un libro sobre aprendizaje estadístico, NO sobre lo que demandas. Suerte. Isidro Hidalgo Arellano Observatorio Regional de Empleo Consejería de Empleo y Economía

Dear All, I fitted two non-nested proportional hazards models using the coxph() function from package survival. Now, I would like to apply a model selection test like, e.g., the likelihood ratio test proposed by Vuong. I found an implementation of Vuong's test in the package 'pscl', but that does not work for cox models. Is there any package available that provides an

Dear All, I?ve got a statistical question on calculating dissimilarities in R. I want to calculate the different types of dissimilarities on the ?flower? dataset found in the package ?cluster?. Flower is a data frame with 18 observations on 8 variables. Variable 1 and 2 are binary, variable 3 is asymmetric binary, variable 4 is nominal, variable 5 and 6 are ordered and variable 7 and 8 are

I am trying to implement an ANOVA on a pair of quantile regression models in R. The anova.rq() function performs a basic check to see whether the models are nested, but I think this check is failing in my case. I think my models are nested despite the anova.rqlist() function saying otherwise. Here is an example where the GLM ANOVA regards the models as nested, but the quantile regression ANOVA