similar to: Distributed lag model

I'd like to play with ARIMA models of stock prices, but I am a complete novice. Could some kind soul explain the relationship among packages "ts", "tseries", "dse", "dse2", and "fracdiff"? Are they 'competing' products or does one depend on another? Where would be the best place for a novice to begin? Thanks for any advice. PS. I

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

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, As a project for a computer performance analysis paper I am taking this semester, I am going to look at the performance of the memory manager in R, with the aim of determining how fast it is and which areas most need improvement. The idea is that I will compare various versions of R, starting with 0.64.2, and then at a few stages in the implementation of the new memory management scheme (of

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

Given the confusions that some users have regarding package bundles, I'd like to suggest some changes to how package bundles are handled. My understanding is that a package bundle is essentially a convenient way to distribute related packages, so that users can download/install them in one shot. However, some users apparently get confused that one can do install.packages("abundle")

Given the confusions that some users have regarding package bundles, I'd like to suggest some changes to how package bundles are handled. My understanding is that a package bundle is essentially a convenient way to distribute related packages, so that users can download/install them in one shot. However, some users apparently get confused that one can do install.packages("abundle")

The following C code : #include <stdio.h> #include <stdlib.h> int TESTE2( int parami , int paraml ,double paramd ) { int varx=0,vary; int nI =0; //varx= parami; if( parami > 0 ) { varx = parami; vary = varx + 1; } else { varx = vary + 1; vary = paraml; } varx = varx + parami + paraml; for( nI = 1 ; nI <= paraml; nI++) { varx =

Am 30.06.2016 um 12:00 schrieb mathias dufresne: > Sorry to ask that but this thread is quite long and that makes > understanding difficult, at least to me. What is the status of all that? I > believe at one moment it was writtent using winbindd is solution, that with > winbindd instead of winbind we don't need to synchronize idmap.ldb to get > GPOs working well even with

hi all why does the following not work??? this was someone elses code and i couldnt explain why it doesn't work. m=matrix(c(0,0),2,1) v=matrix(c(1,0,0,1),2,2) Y=function(X1,X2,mu=m,V=v) { X=matrix(c(X1,X2),2,1) a=(1/((2*pi)*sqrt(det(V))))*exp((-0.5)*(t(X-mu)%*%solve(V)%*%(X-mu))) a[1] } x1=seq(-1,1) x2=x1 Z=outer(x1,x2,FUN="Y",mu=m,V=v) persp(x1,x2,Z) my code:

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

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]]

The following C test program was compiled using LLVM with -O3 option and MSVC with /O2. The MSVC one is about 600 times faster than the one compiled with the LLVM. We can see that the for loop in MSVC assembler is solved in the optimization pass more efficiently than that in LLVM. Is there an way to get a optimization result in LLVM like that of the MSVC? Manoel Teixeira #include

Dear all, Being a newbie to R, I've trawled through many old posts on this list looking for a solution to my problem, but unfortunately couldn't quite figure it out myself. I'd be very grateful if someone here on this list could perhaps help me out. I have a lattice plot with several panels and would like to add some text next to the y-axis on the right hand side of each row of

Hola a todos, Partiendo de: library(ggplot2); library(data.table) datos <- data.table(Date = seq.Date(as.Date("2017-01-01"), as.Date("2017-01-10"), by = "day"), V1 = rnorm(10), V2 = rnorm(10)) Quiero crear una función para pintar un gráfico cuyos argumentos sean

I am attempting to value convertible bonds through a Monte Carlo approach. I want to express call schedules as date-price tuples. Naturally, these tuples need to be expanded to match the frequency of the innovations in the MC process. 1. Is there a straigh-forward way to accomplish this "expansion"? 2. I have noted the existance of ts, its, zoo and fCalendar. Does anyone have an

R users, I have df like this a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5), var1_lab= rep(c("cat", "dog", "mouse", "horse"), each=5), var2 = rep(c("B20", "X40", "D50",

Has anyone writtent an R function for estimating linear models with distributed lags(using matrix algebra)? Yt=B0+S j=1j=10 Xt-j+e Thanks a lot! --------------------------------- [[alternative HTML version deleted]]