Re: [R] individual likelihoods

> > Dear all, > is there a way to extract individual likelihoods from a glm/lrm object? > By individual likelihoods, I mean the likelihoods whose product give the > overall likelihood of the model. > I guess the code in the base package, used to compute the Akaike Information > Criterion may help

Re: [R] how to overlap plots

> > Dear R experts: > Can you help me to overlap a histogram and theoretical density curve of poison > distribution? for example data like this: > The numbers of sanils found in each of 100 sampling quadrats in an area were > as follows: > number of snails, r 0 1 2 3 4 5 8 15 > f=frequency of r

Re: [R] copula functions

> > Hi there > > does anyone know about a downloadable CRAN for copula functions for R? Not on CRAN, but on my homepage (www.luc.ac.be/~jlindsey/rcode.html). gausscop in my repeated library handles gaussian copulas. Jim > > Thank you so much for your answers. > > Hanspeter > > ___

Re: [R] Jacobian Matrix

utomatically. Available at www.luc.ac.be/~jlindsey/rcode.html Jim Lindsey > > thanks. > > Savano > > __ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help >

Re: [R] Hidden Markov estimation

> > Dear all, > is there a package in R that can be used to estimate the parameters in a > Hidden markov Model? You might try my functions hidden (discrete time), chidden (continuous time), and cphidden (find a change-point) functions in my repeated library at www.luc.ac.be/~jlindsey/rcode.html

Re: [R] glmm and overall goodness of fit

> > Hi, > > exist in R any glmm function that have any tools for test for overall goodness > of fit? True measures of overall goodness of fit may be difficult to formulate for such mixed models. Relative goodness of fit (as compared to glm) is available through the AIC produced by my glmm func

Re: [R] estimation stable distribution parameters

> > Hi, > This just repetition of my mail, so please apologize me if you receive it > twice. > > I am wondering whether anyone of you already implemented in R or S+ the > methods of estimation the parameters of stable distribution (especially the > iid case). If there is, i will be happy to g

Re: [R] Survival analysis and generalized gamma?

> > Is there an easy way to integrate the generalized gamma distribution into > the current R survival package? This distribution is available in my gnlr3 function in my gnlm library. It handles left-, right-, and interval censoring, with linear and nonlinear regression on all three parameters. A

Re: [R] Markov switching models

> > I'm looking for Markov switching models, written in R or S-plus: > Does anyone know about programs? If I am correct in believing that these are hidden Markov models, there are hidden (discrete time) and chidden (continuous time) in my repeated library. www.luc.ac.be/~jlindsey/rcode.html Ji

Re: [R] GLM for Beta distribution

> On Wed, 19 Feb 2003, Sharon Kuhlmann-Berenzon wrote: > > > > > Hi R-help, > > > > Is there such a thing as a function in R for fitting a GLM where the > > response is distributed as a Beta distribution? > > > > In my case, the response variable is a percentage ([0,1] and continuous). > > > > The

Re: [R] beta-binomial

> > > > Does anyone have R functions or library to fit a beta-binomial distribution > with glm? Thanks. You can fit it exactly, instead of the approximate glm way, using my gnlr function in my gnlm library at www.luc.ac.be/~jlindsey/rcode.html Jim ___

Re: [R] negatively correlated binary data

> > > Dear R users: > > > Is there a way to create negatively correlated binary data in R. I have > looked at bindata, but it seems it only works with positively correlated > data. Take a look at ?rdoublebinom ?rmultbinom after loading my rmutil library. As well, gnlr in my gnlm library w