similar to: dse model setup help

I am having problems with the package dse. I just installed R 2.2.1 and reinstalled all packages. I am running Windows XP Pro with all updates. Below there are two examples of error messages generated when trying to execute some simple programs. The code was taken directly from the package documentation. Any help on this will be greatly appreciated. Merry Christmas Fernando

Hello, Using the dse package I have estimated a VAR model using estVARXls(). I can perform forecasts using forecast() with no problems, but when I try to use simulate() with the same model, I get the following error: Error in diag(Cov, p) : 'nrow' or 'ncol' cannot be specified when 'x' is a matrix Can anyone shed some light on the meaning of this error? How can I

Hi, I tried to run the VARMA model in the dse package. I specified a model: > arma A(L) = 1+0.244L1 0+0.05L1 0-0.325L1 1-0.234L1 B(L) = 1-0.277L1 0+0.211L1 0-0.206L1 1+0.238L1 and have a TSdata object: > dfdata output data: Series 1 Series 2 1 "difex2" "difem2" but I get this warning message: > estMaxLik(arma, dfdata) Error in

I would like to request help with the installation of dse in raqua in mac os x 10.3. I get the following error message after the messages indicating that parts were successfully installed. I would be most grateful for a solution. ----------------------------------------- * Installing *source* package 'setRNG' ... ** R ** inst ** help >>> Building/Updating help pages for

Folks, I am finding problems with using "dse": > library(dse1) Loading required package: tframe Error: c("package '%s' required by '%s' could not be found", "setRNG", "dse1") > library(dse2) Loading required package: setRNG Error: package 'setRNG' could not be loaded In addition: Warning message: there is no package called

Hi, If I try to do this: if(is.R()) data("eg1.DSE.data.diff", package="dse1") model <- est.VARX.ls(eg1.DSE.data.diff) (Page 14 - DSE Package Manual) I obtain a Segment Violation. I use R-1.3.0 and the last dse package version Maximino Ameneiro Gomez -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi there, I ran into some trouble trying to install the dse library on os 10.3 with RAqua as the installation of the dse1 package failed. On the R console I got the error message Warning message: Installation of package dse had non-zero exit status in: install.packages(ui.pkgs, CRAN = getOption(where), lib = .libPaths()[1]) > and the console of the os x said gcc -bundle -flat_namespace

Dear Paul, Hello R Maintainers, I'm for the first time here and I hope its the right place to give the following information: The contributed R-package "dse" fails to be loaded from the menu button(s). The reason is that it contains 4 sub-packages, dse1, dse2 ..., so the DESCRIPTION file cannot be found. - One has to load it manually! - Try it ... - It is possible to correct this?

The reason dse won't install is because of the new versioned install code. It assumes that it's dealing with a plain package, and doesn't handle bundles properly. Robert, could you look at that? A workaround is as follows. After the install.packages call fails with this message >Error in file(file, "r") : unable to open connection >In addition: Warning message:

Hello, Sorry a second time again, Maybe I have to add that I'm running R under Windows 2000/XP, and that the download works properly under 1.062 but not under 1.070. Diethelm >Date: Tue, 10 Jun 2003 19:25:33 +0200 >To: r-devel@stat.math.ethz.ch >From: Diethelm Wuertz <wuertz@itp.phys.ethz.ch> >Subject: dse package - load failure >Cc: pgilbert@bank-banque-canada.ca

Hi, Following convention below: y(t) = Ax(t)+Bu(t)+eps(t) # observation eq x(t) = Cx(t-1)+Du(t)+eta(t) # state eq I modified the following routine (which I copied from: http://www.stat.pitt.edu/stoffer/tsa2/Rcode/Kall.R) to accommodate u(t), an exogenous input to the system. for (i in 2:N){ xp[[i]]=C%*%xf[[i-1]] Pp[[i]]=C%*%Pf[[i-1]]%*%t(C)+Q siginv=A[[i]]%*%Pp[[i]]%*%t(A[[i]])+R

Hi there, I'm in desperate need to figure out how to solve this issue. I need to estimate a recursive model for a time series data of asset returns. The dependent variable is the asset return and then I have a set of k variables, a lagged value of the dependent variable (plus an intercept) as regressors. My sample period (monthly observations) starts on Jan 1972. What I need to do is the

Hi, Can anyone tell me how to construct a simple VAR(1) time series with two variables using the dse package? I would like to end up with two time series y_1t = \phi_11 y_1,t-1 + \phi_12 y_2,t-1 + e_1t y_2t = \phi_21 y_1,t-1 + \phi_22 y_2,t-1 + e_2t Best regards, Sam.

Hi all R gurus out there, Im a kind of newbie to kalman-filters after some research I have found that the dlm package is the easiest to start with. So be patient if some of my questions are too basic. I would like to set up a beta estimation between an asset and a market index using a kalman-filter. Much littarture says it gives superior estimates compared to OLS estimates. So I would like to

Hi Guys, I had a monthly time series's data of land temperature from 1980 to 2008. After plotting a scatter diagram, it seems that annually, there is a semi sinusoidal cycle. How do I run Fourier's series to the data so that I can fit model on it? I am really sorry for my question sound stupid, but I just don't know where to start. I am desperately looking for help from you guys.

I have obtained from transfer functions, the state space matrices for the following state space model. x* = Ax + Bu y = Cx + Du I have A, B, C, and D, now I would like to take the exogenous inputs and simulate the data using the state space model. I know there is a simulate function in the package dse1, but I am unsure as to what type of TSmodel to create to put into it. Could anyone give me

With the release of R-2.10.0 I have divided the dse bundle into packages. The bundled package dse1 and part of dse2 are now in the new package dse. The remaining part of dse2 is in a new package EvalEst. The package dse does multivariate ARMA and state space time series modelling and forecasting, while package EvalEst is now focused on the evaluation of estimation methods. To aid transition, there

With the release of R-2.10.0 I have divided the dse bundle into packages. The bundled package dse1 and part of dse2 are now in the new package dse. The remaining part of dse2 is in a new package EvalEst. The package dse does multivariate ARMA and state space time series modelling and forecasting, while package EvalEst is now focused on the evaluation of estimation methods. To aid transition, there

Hi R-Community, so far I dealt with univariate processes and used the function "arima" to estimate an ARMA(1,1)-model. For multivariate processes there are the functions "estVARXar" and "estVARXls" from package "DSE". But how can I estimate an VARMA(1,1)-model, or even better determine the orders and estimate the parameters? Much thanks in advance, Hagen

Hey all, I am trying to work under a State Space form, but I didn't get the help exactly. Have anyone eles used this functions? I was used to work with S-PLUS, but I have some codes I need to adpt. Thanks alot, Bernardo [[alternative HTML version deleted]]