similar to: GLMMPQL and negbinomial: trouble with the X-axis in PREDICT

All, I have some data on parasites on apple leaves and want to do a goodness of fit test to a Poisson distribution. This seems to do it: mites <- c(rep(0,70), rep(1,38), rep(2,17), rep(3,10), rep(4,9), rep(5,3), rep(6,2), rep(7,1)) tab <- table(mites) NSU <- length(mites) N <-

I am using the 0.50 alpha version of R packaged (in 3 parts) by Kurt for Debian Linux. Package: r-base Status: install ok installed Priority: optional Section: local Maintainer: Kurt Hornik <Kurt.Hornik at ci.tuwien.ac.at> Version: 0.50b7-1 Depends: libc5, xlib6, libreadline2 Description: R, a language not entirely unlike the language S. Package: r-contrib Status: install ok

Thank you for taking time to do this, Andrew. But, of course, it will be too late for me. I’ve just returned from exile, where I went on a spirit quest of sorts. Except that, on this quest, I was obliged to keep my distance until I had found a way to export and import all users, groups and group membership from my old samba domain to my new one. I updated schema to support Kerio Connect using

Dear Experts, Probably trivial, but I am struggling to get what I want: I need to know how the number of required trials to get a certain number of successes. By example: How many trials do I need to have 98% probability of 50 successes, when the a priory probability is 0.1 per trial. The Negative binomial function may do the job (not sure): NegBinomial {stats} The Negative Binomial

Dear list, I would like to fit a negative binomial regression model as described in "Byers AL, Allore H, Gill TM, Peduzzi PN., Application of negative binomial modeling for discrete outcomes: a case study in aging research. J Clin Epidemiol. 2003 Jun;56(6):559-64" to my data in which the response is count data. There are also 10 predictors that are count data, and I have also 3

Anyone has had differing experiences with different blackberries? Someone with Blackberry Gold/Bold get only 1 e-mail yet regualr blackberries get multiple copies of the same e-mials. Is this a blackberry bug or is their something I have to set in Dovecot? -- Member - Liberal International This is doctor at nl2k.ab.ca Ici doctor at nl2k.ab.ca God, Queen and country! Never Satan President

Hi All, i have a question, is there any soft-phone available for Black Berry use, I've been told there is a firefly one, but when i looked, i found nothing, is any body has an update on this please? -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20100715/1bf1a72e/attachment.htm

This came up on r-help but indicates a bug. dnbinom(x,n,p) calls dbinom_raw(n-1,...) which returns 0 for n<1. -thomas ---------- Forwarded message ---------- Date: Thu, 08 Feb 2001 17:10:23 +0000 From: Yudi Pawitan <yudi@stat.ucc.ie> To: Mark Myatt <mark@myatt.demon.co.uk> Cc: R-Help <r-help@stat.math.ethz.ch> Subject: Re: [R] Goodness of fit to Poisson / NegBinomial

Several of R's p/d/q/r (probability/density/quantile/random.number) functions have argument names different from the ones S(-plus) uses [e.g., pf(.), rbinom(.)]. Does everyone agree that we want to become compatible here? Any volunteer for changing this in R? If you do, please give us/me a not, and please get a current snapshot of the R development version from

Finding and not unnecessarily duplicating existing functionality is important also from a user perspective. Negative binomial regression provides a somewhat extreme example of existing overlap between packages, with the scope that this creates for confusing users, especially as the notation is not consistent between these different implementations. In addition to MASS::glm.nb(), note

Dear R users, I am trying to fully understand the difference between estimating overdispersion with glm.nb() from MASS compared to glm(..., family = quasipoisson). It seems that (i) the coefficient estimates are different and also (ii) the summary() method for glm.nb suggests that overdispersion is taken to be one: "Dispersion parameter for Negative Binomial(0.9695) family taken to be

Dear list, I would like to know: 1. After I have used the R code (http://pscl.stanford.edu/zeroinfl.r) to fit a zero-inflated negative binomial model, what criteria I should follow to compare and select the best model (models with different predictors)? 2. How can I compare the model I get from question 1 (zero-inflated negative binomial) to other models like glm family models or a logistic

Hi, I was wondering if someone can help me interpret the results of running weibreg. I run the following and get the following R output. > weibreg(Surv(time, censor)~covar) fit$fail = 0 Call: weibreg(formula = Surv(time, censor)~covar) Covariate Mean Coef Rel.Risk L-R p Wald p covar 319.880 -0.002 0.998 0.000 log(scale) 0.000 8.239

Dear useRs, upon request, the VGAM package (currently version 0.7-1) has been officially released on CRAN (the package has been at my website http://www.stat.auckland.ac.nz/~yee/VGAM for a number of years now). VGAM implements a general framework for several classes of regression models using iteratively reweighted least squares (IRLS). The key ideas are Fisher scoring, generalized linear and

Hello from Sunny and frigidly cold Minneapolis, MN, USA! I have a SAMBA domain with three DCs running v4.4.16 on Ubuntu Server 14.04.5 LTS (BIND9 DLZ Backend). I need to move all my records to a new domain (from DOMAIN.LOC to SAMDOM.DOMAIN.NET). I know that it's not possible to change domains on a samba install, so I've created three new DCs running v4.7.4 on Ubuntu Server 16.04.3 LTS

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

Full_Name: Luzi P. Schucan Version: R-base-0.90.1-2.i386.rpm OS: Linux Submission from: (NULL) (141.84.136.129) I just wanted to install the rpm package with rpm --v -i [file], and here is the log: (I DID run it as root!!) (the important thing is in the end: there must be a bug in the post install script. The problem is, that it does install all the files, but it doesn't correctly hang the

<<insert bug report here>> ------------------------------------------------------ Error: R : Copyright 2002, The R Development Core Team Version 1.5.1 (2002-06-17) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type `license()' or `licence()' for distribution details. R is a collaborative project with