similar to: Optimization problem

Hi - I am fitting a probit model using glm(), and the deviance and residual degrees of freedom are different depending on whether I use a binary response vector of length 80 or a two-column matrix response (10 rows) with the number of success and failures in each column. I would think that these would be just two different ways of specifying the same model, but this does not appear to be the case.

Hello Is it possible to take advantage of copy-on-write implemented in btrfs if all bricks are stored on it? If not is there any other mechanism (in glusterfs) which supports CoW? regards -- Maciej Ga?kiewicz Shelly Cloud Sp. z o. o., Sysadmin http://shellycloud.com/, macias at shellycloud.com KRS: 0000440358 REGON: 101504426 -------------- next part -------------- An HTML attachment was

Hello- It has been several years since anyone has asked, so i am asking again- has anyone created a routine to estimate confidence intervals for predictions from nls models (ala Bates and Watts 1988)? Thanks - Alice Shelly [[alternative HTML version deleted]]

Hi, I am trying to send emails out using ActionMailer. Currently, the console shows that everything is sending out correctly, but I am not actually receiving any emails. Thanks in advance, Shelly --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email

Hello- I understand that log-likelihoods are bound to differ by constants, but if i estimate AIC for a set of simple nested linear models using the following 4 methods, shouldn't at least two of them produce the same ordering of models? in R: extractAIC AIC in S-PLUS: AIC n*log(deviance(mymodel)/n) + 2*p I find it troubling that these methods all give me different answers as to the best

On 16 October 2013 13:55, Daniel P. Berrange <berrange@redhat.com> wrote: > > Sounds like a host mis-configuration related to kernel bridge support > to me. > Could you tell me what might be mis-configured? I am using kernel 3.10.11, modules openvswitch, bridge, stp and llc are loaded. regards -- Maciej Gałkiewicz Shelly Cloud Sp. z o. o., Sysadmin http://shellycloud.com/,

Hi I am using Libvirt 1.1.2 with Openstack Havana (RC2, nova-network) and openvswitch 1.4.2+git20120612-9.1. Libvirt vif driver ( nova.virt.libvirt.vif.LibvirtGenericVIFDriver) generates config likes this: <interface type='bridge'> <mac address='fa:16:3e:44:30:a4'/> <source bridge='br0'/> <model type='virtio'/>

On 2 July 2013 09:58, Martin Kletzander <mkletzan@redhat.com> wrote: > I'd say this is a problem with sasl, nothing else. "No mechanism found" > may mean that libraries for configured mechanism aren't found or unknown > mechanism is being requested. I doubt that access to those libraries > would be a permisison problem, but you might be missing some >

Hello I have a question about live migration when libvirt requires sasl authentication. I have managed to configure remote access for user nova with sasl enabled (credentials stored in auth.conf - https://review.openstack.org/#/c/12706/). It looks like live migration do not use these credentials at all. What is more it thinks that sasl is not not configured: 2013-07-01 09:49:09.317+0000: 17997:

I have a set of evaluation variables (n) for each sample (sample size is large enough) and I am trying to use R (nnet package) to aggregate the data. However, I don't know the weight for each variable (I am sure the weight shouldn't be equally assigned). Specifically, I have 12 indices (CO2, SO2, TSP...) for 100 cities and I want to calculate weight for each and finally obtain a

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear R Community, I am trying to optimize a water quality model that I am using. Based on conversations with others more familiar with what I am doing I plan to implement DEOptim to do this. The water quality model is interfaced through a GUI. I have the input file necessary to alter parameters and run the model as a text file. To do the optimization I have figured out the general procedure

I am trying to figure out how parameters are defined in a function that is used by DEOptim. That is, when I set upper and lower bounds for DEOptim how does it know which element of the function to apply those bounds to? For example, in DEOptim call below, when DEOptim goes into "optimfxn" how does it know what element of "optimfxn" to apply the upper and lower bounds to?

(the same mail was sent to the author) When I called the function DEoptim with control=list(strategy=1) or control=list(strategy=2) I got the error: Error in mui[rtd + 1, i] : incorrect number of dimensions Analysis of the source code of the DEoptim reveals the following fragment if (con$strategy > 5) st <- con$strategy - 5 ## binomial crossover else { st <-

Function DEoptim in package DEoptim for differential evolution defines an optional parameter fnMap: fnMap "an optional function that will be run after each population is created, but before the population is passed to the objective function. This allows the user to impose integer/cardinality constriants." Unfortunately, there is no further documentation decribing the kind of

Hi R-Core, i am using nnet and DEoptim, Xcc=matrix(rnorm(100,0.5,0.08),50,2) Ycr=matrix(rnorm(50,0.2,0.05),50,1) pred_regm1 <- function(A) { A1=A[1] A2=A[2] A3=A[3] regm1 <- nnet(Xcc,Ycr,entropy=T,size=A1,decay=A2,maxit=2000,trace=F,Hess=T,rang=A3,skip=T) dif=sum((predict(regm1,Xcc)-Ycr)^2) return(dif) } somar=DEoptim(pred_regm1,c(1,0.00001,0.01), c(25,0.999,0.95),

In place of padding in zfs znode i added a new field. stored an integer value and am able to see saved information. but after reboot it is not there. If i was able to access before reboot so it must be in memory. I think i need to save it to disk. how does one force zfs znode to disk. right now i dont do anything special for it. Just made an ioctl, accessed znode and made changes. example in

We are starting the process for purchasing a server with Windows Server 2008 OS. We are mainly interested in storage for multiple users, but would like to have the capability to run R simulations on the server. Are there any issues we should be aware of for installing R on the server or with having multiple users run R simultaneously? Thanks much! <http://www.uams.edu/biostat>

Hi, I have a dataset with the following properties: Y_i ~ N(mu_i, theta * (mu_i)^2) ln(mu_i) = B'Xi theta and beta's are the parameters here. I want to come up with a model to fit the data with the above property and test that model on the built in R dataset quine. Does nls() make sense in this case? Or is there any existing R package which can fit this model? -Shelly -- View