similar to: Count model prediction

Dear All, I would like to report a possible mistake in the generic function rzigp in ZIGP package, and seek for help. Yesterday I tried the "rzigp" function, in this way: 1. generate poisson means from a pareto distribuion, 2. generate dispersion for each poisson from gamma distribution 3. generate ratios between poisson means from uniform 4. generate dispersed poisson counts by

Hey, I am estiamting a partially linear model y=X\beta+f(\theta) where the f(\theta) is estiamted using wavelets. Has anyone heard of methods to test if the betas are significant or to address model fit? Thanks for any thoughts or comments. Elizabeth Lawson __________________________________________________ [[alternative HTML version deleted]]

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]]

In your particular case I don't think that censoring is an issue, at least not for the reason that you discuss. The basic censoring assumption in the Cox model is that subjects who are censored have the same future risk as those who were a. not censored and b. have the same covariates. The real problem with informative censoring are the covaraites that are not in the model; ones that

Hi, I have a problem with file transfers between a windows systems and unix systems. I have one win32 desktop (intel e6400 2Gb Ram), one win32 laptop (p-m 2Ghz). Also one linux laptop (p-m 1.4GHz) and one opensolaris desktop (intel e4400 1GB Ram). The two laptops have built-in 100Mbit ethernet and desktops have 1Gbit ethernet on the motherboard. Both desktops use a Marvell Yukon. The file

https://bugzilla.samba.org/show_bug.cgi?id=3392 Summary: fuzzy misbehaving if source is a file Product: rsync Version: 2.6.6 Platform: All OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy: egmont@uhulinux.hu

I'm attempting to calculate a regression in R that I normally use Prism for, because the formula isn't pretty by any means. Prism presents the formula (which is in the Prism equation library as Heterologous competition with depletion, if anyone is curious) in these segments: KdCPM = KdnM*SpAct*Vol*1000 R=NS+1 S=(1+10^(X-LogKi))*KdCPM+Hot a=-1*R b=R*S+NS*Hot+BMax c = -1*Hot*(S*MS+BMax) Y