search for: conjugates

Hi, All: Is there a simple way to detect complex conjugates in the roots returned by 'polyroot'? The obvious comparison of each root with the complex conjugate of the next sometimes produces roundoff error, and I don't know how to bound its magnitude: (tst <- polyroot(c(1, -.6, .4))) tst[-1]-Conj(tst[-2]) [1] 3.108624e-15+2.22045e-16i a...

Is there a function in R that returns the complex conjugate of a matrix (a la 'CONJ' in IDL or 'Conjugate' in Mathmatica)?

Greetings I have been experimenting with sampling from posterior distributions using R. Assume that I have the following observations from a normal distribution, with an unscaled joint likelihood function: normsamples = rnorm(1000,8,3) joint_likelihood = function(observations, mean, sigma){ return((sigma ^ (-1 * length(observations))) * exp(-0.5 * sum( ((observations - mean ) ^ 2)) / (sigma

Dear list, I am using optim() function to MLE ~55 parameters, but it is very slow to converge (~ 25 min), whereas I can do the same in ~1 sec. using ADMB, and ~10 sec using MS EXCEL Solver. Are there any tricks to speed up? Are there better optimization functions? Thanks Toshihide "Hamachan" Hamazaki, $B_@:j=S=((JPhD Alaska Department of Fish and Game:

Hi, Man page for 'convolve' says: conj: logical; if 'TRUE', take the complex _conjugate_ before back-transforming (default, and used for usual convolution). The complex conjugate of 'x', of 'y', of both? In fact it seems that it takes the complex conjugate of 'y' only which is OK but might be worth mentioning because (1) conj=TRUE is the

Hello everybody When one is working with complex matrices, "transpose" very nearly always means *Hermitian* transpose, that is, A[i,j] <- Conj(A[j,i]). One often writes A^* for the Hermitian transpose. I have only once seen a "real-life" case where transposition does not occur simultaneously with complex conjugation. And I'm not 100% sure that that wasn't a

Hi Does anyone know of any R coding/functions for MCMC approaches? I am currently using BUGS but I wonder if the bazaar has produced anything? I think I am pushing BUGS to it's limit and possibly past it at the moment. John -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> writes: > Vectorization must know the data layout: whether we have vectors (r1, > i1, r2, i2...) or (r1, r2, ...), (i1, i2, ...). These two approaches > are not compatible. If you have vector registers that can hold 8 > floats, with the first approach you can load 4 complex numbers in a > single instruction, then

Good afternoon/morning readers. This is the first time I am trying to run some Bayesian computation in R, and am experiencing a few problems. I am working on a Poisson model for cancer rates which has a conjugate Gamma prior. 1) The first question is precisely how I work out the parameters. #Suppose I assign values to theta with *seq()* *theta<-seq(0,1,len=500)* #Then I try out the

> On Jul 3, 2019, at 4:43 PM, Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > -----Original Message----- > From: David Greene <dag at cray.com> > Sent: Wednesday, July 3, 2019 2:44 PM > To: Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> > Cc: Krzysztof Parzyszek <kparzysz at quicinc.com> > Subject: [EXT] Re:

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Hi. I'm trying to use Wine 0.9.12 under Ubuntu 6.06 to run "Verbix7.3" (www.verbix.com): when it all seems to be done, when I select the verb to be viewed, this doesn't happen, and I see the following error in a MsgBox: Fatal error in Verbix: Unexpected error occured at 00000000 Errormessage was: "Method 'tenses' not supported by automation object" Error

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Hi, I'm very interested in using the constrOptim() function currently in the R-devel sources. In particular, I'm trying to fit point process conditional intensity models via maximum likelihood. However, I noticed that the gradient of the objective function must be supplied for all but the Nelder-Mead method. I was wondering why this was because optim() itself does not require a gradient

I evaluated the Bayes factor in the k=2 allele case with a "triangular" prior under the null as in the example in the help file: HWETriangBF2(nvec=c(88,10,2)) [1] 0.4580336 When I swap the n11 entry and n22 entry of nvec, I received totally different Bayes factor: > > HWETriangBF2(nvec=c(2,10,88)) [1] 5.710153 > In my understanding, defining the genotype frequency as

Does anyone know of contributions to R for solving sparse linear systems? In particular for spatial stats I am interested in solving large positive definite symmetric systems. Thanks in advance, Doug ----------------------------------------------------------------------------- Doug Nychka, Geophysical Statistics Project Email: nychka at ucar.edu National Center for Atmospheric

Sorry for the contents not relating to R. Assume there are N i.i.d zero-mean complex gaussian random variables(RVs),as w(i),0<=i<N} with known variance,from which one can generate another N RVs,as R(0)=sum over i {w(i)*w'(i)} R(1)=sum over i {w(i+1)*w'(i)} ... up to R(N-1)= w(N-1)w'(i) where w'(i) is the complex conjugate of w(i). (from viewpoint of signal

Hi, We (Paul Gilbert and I) have just released a new R package on CRAN called "BB" (stands for Barzilai-Borwein) that provides functionality for solving large-scale (and small-scale) nonlinear system of equations. Until now, R didn't have any functionality for solving nonlinear systems. We hope that this package fills that need. We also have an implementation of the

Hello all, I am new to the list, but I have been using ferret for a little bit already. I would first like to thank Dave for all his work on ferret. I had a few questions that I haven''t been able to figure out after messing around with ferret and going through the documentation. StemFilter ------ I am trying to improve the quality of my searches in context of the content of my

Hello I was hoping to get some advice regarding teaching R in an academic environment. What are the best choices with respect to textbooks? When this question was asked a few years back, people were primarily recommending ?Modern Applied Statistics with S? and ?Introductory Statistics with R? as two good choices. I?ve also heard some good thinks regarding ?An R Companion to Applied