similar to: Convergent Cross Mapping

I am interested in using the nonlinear forecasting techniques developed by Sugihara et al. In particular the simplex projection and the S-Map (see this website for details and reprints: http://iod.ucsd.edu/simplex/ ). I've looked through CRAN but could not find any package with functions that allow such analysis. Any pointers? Thanks, Manu

Hello all, I''ve got the problem about the following simple application using autostart and repeat_every. A thread(?) is forked for processing task at first, but at sencond time two threads seem to be forked. My simple application code is... - In worker class class FooWorker < BackgrounDRb:Rails repeat_every 2.minutes first_run Time.now def do_work puts Time.now.to_s +

On Tue, 2009-06-09 at 00:12 +1000, Silvia Pfeiffer wrote: > On Sat, Jun 6, 2009 at 6:23 AM, ter<et at ihear.com> wrote: > >> If you are creating multitrack Ogg files, they should contain a > >> skeleton track to identify the different contained tracks. > >> http://wiki.xiph.org/OggSkeleton > > ALingA is a multitrack format > >

On Tue, Jun 9, 2009 at 9:23 AM, ter<et at ihear.com> wrote: > On Tue, 2009-06-09 at 00:12 +1000, Silvia Pfeiffer wrote: >> On Sat, Jun 6, 2009 at 6:23 AM, ter<et at ihear.com> wrote: >> >> If you are creating multitrack Ogg files, they should contain a >> >> skeleton track to identify the different contained tracks. >> >>

(Sorry, Sylvia, about the duplicate, hit the wrong reply button.) On Fri, 2009-06-05 at 08:07 +1000, Silvia Pfeiffer wrote: > Hi Elaine, > > I flipped through some of the code but wasn't really about to > determine this: Do you also support Skeleton in libogg++ ? Hi, Silvia. I studied your multi-track work when I was working on ALingA. It was a valuable guide. No, libogg++ tries

Hi, This is not a DTrace technical question (so, please don''t flame me for it) :) This is regarding the DTrace (un)conference TShirt. I am curious to know what engine is it. Could not figure it out. Thanks and regards, Sanjeev. -- Solaris Revenue Products Engineering, India Engineering Center, Sun Microsystems India Pvt Ltd. Tel: x27521 +91 80 669 27521

Using the nls function I fit the following model (and some others) to my data. mod1=nls(CLr ~ A-(A-CLi)*exp(-k*d), start = list(A=60,k=0.005)) I would like to rank a set of models using AIC. I calculated AIC as AIC(mod1) However, it appears to use an incorrect number of parameters (3 instead of 2). Why is this? Additionally, if I calculate AIC using the residuals sum of squares instead of the

I have a loop with convergent instructions with a loop count of 1024. I use pragma to specify unroll count to be 32. However, the loop was unrolled by 512, which results in very long compilation time. In tryToUnrollLoop, there is // If the loop contains a convergent operation, the prelude we'd add // to do the first few instructions before we hit the unrolled loop // is unsafe -- it

Hi useRs.. I cant figure out how to test for causality using causality() in vars package I have two datasets (A, B) and i want to test if A (Granger)cause B. How do I write the script? I dont understand ?causality. How do I get x to "contain" A and B. Further using the command VAR() to specify x, I dont either understand. Kind regards Tobias -- View this message in context:

Dear Community, this is my first programming in R and I am stuck with a problem. I have the following code which automatically calculates Granger causalities from a variable, say e.g. "bs" as below, to all other variables in the data frame: log.returns<-as.data.frame( lapply(daten, function(x) diff(log(ts(x))))) y1<-log.returns$bs y2<- log.returns[,!(names(log.returns) %in%

Dear Community, For my masters thesis I need to perform a multivariate granger causality test. I have found a code for bivariate testing on this page (http://www.econ.uiuc.edu/~econ472/granger.R.txt), which I think would not be useful for the multivariate case. Does anybody know a code for a multivariate granger causality test. Thank you in advance. Best Regards -- View this message in context:

Dear Community, I am new to R and have a question concerning the causality () test in the vars package. I need to test whether, say, the variable y Granger causes the variable x, given z as a control variable. I estimated the VAR model as follows: >model<-VAR(cbind(x,y,z),p=2) Then I did the following: >causality(model, cause="y"). I thing this tests the Granger causality of

I am using the vars package and it calls a function causality() which then calls something called .duplicate. I had to modify the causality function slightly for my purposes and I called it my.causality() but now the .duplicate function is no longer known to the my.causality function. I'm fairly certain that this is due to my lack of expertise in R but if someone could tell me how to make the

Hello dudes. I'm developing VAR analysis based on suggestions made by Horváth in its paper Canonical Correlation Analysis and Wiener-Granger Causality Tests. That's the reason I'm looking for if there's any R package to develop Wiener - Granger Causality Test. Thanks a lot for your unvaluable help. Regards from Mexico [[alternative HTML version deleted]]

(I work on CUDA / PTX.) For one thing I'm in favor of having fewer annotations rather than more, so if we can do this in a reasonable way without introducing the notion of co-convergent calls, I think that would be a win. The one convergent annotation is difficult enough for the GPU folks to grok and then keep in cache, and everyone who works on llvm has to pay the cost of keeping their

Dear R Users, Can someone point me to a R package which will help me optimally choose a lag for Granger Causality testing ? Many thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are

Hi folks, I am trying to perform a Granger causality analysis with panel data. There are some packages around for panel data analysis and Granger causality. However, I have found neither a package for both panel data and Granger causality nor any R procedures (homogenous/heterogenous causality hypotheses, related tests such as Wald, unit root tests etc.). Of course, someone must have

What are some reliable R functions that can compute the value of a convergent series? David -- David R. Bickel, PhD Associate Professor Ottawa Institute of Systems Biology Biochem., Micro. and I. Department Mathematics and Statistics Department University of Ottawa 451 Smyth Road Ottawa, Ontario K1H 8M5 http://www.statomics.com Office Tel: (613) 562-5800 ext. 8670 Office Fax: (613) 562-5185

Hi, I was wondering if there is a package/function for Panel Granger non-causality tests? I am interested in Toda-Yamamoto procedure in panel data setting. Thank you, -- View this message in context: http://r.789695.n4.nabble.com/Panel-Granger-Causality-Tests-tp4665834.html Sent from the R help mailing list archive at Nabble.com.

Hi users ı cant find and also do nonlinear garnger causality R codes, Is anyone send me an example??? thanks lots of -- View this message in context: http://r.789695.n4.nabble.com/test-for-causality-tp835483p3050981.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]