similar to: R package with Java source code

For Windows users, some instructions how to use R 4.0.0 with Intel MKL: https://linkedin.com/pulse/r-400-intel-mkl-windows-adrian-trapletti Best Regards Adrian Adrian Trapletti Steinstrasse 9b, 8610 Uster, Switzerland P +41 44 994 56 30 | M +41 79 103 71 31 adrian at trapletti.org | www.trapletti.org

For Windows users, some instructions how to use R 4.0.0 with Intel MKL: https://linkedin.com/pulse/r-400-intel-mkl-windows-adrian-trapletti Best Regards Adrian Adrian Trapletti Steinstrasse 9b, 8610 Uster, Switzerland P +41 44 994 56 30 | M +41 79 103 71 31 adrian at trapletti.org | www.trapletti.org

Simon, Java is still one of the most popular languages out there, in particular in large organizations. See e.g. https://www.tiobe.com/tiobe-index/ . However, there has been a lot of confusion because of Oracle's licencing change in 2019. But the good news is, there are more alternatives than ever. See e.g.

Hello Alexander I doubt that such an analyis is very useful as the data is not sampled synchronously (equity close in the US for ^gspc and even that is not always at the same time, some average price from Oanda data). Also fx data from others sources as suggested in another mail on this list would not really help with this unless it is really sampled at exactly the same times as the equity

Norbert Klink wrote: > Hi! > > I would like to use your tseries GARCH functionality in conjuction with > S-Plus 6 under Windows. Unfortunately, in order to make DLLs usable for > S-Plus it requires you to generate a so-called "S-Plus Chapter DLL", which > carries some S-Plus specific overhead. Loading your DLLs as they are > wouldn't work. Trying to compile the

> Subject: [R] Question on running tseries::garch on Mac OSX > Date: Sat, 18 Jan 2003 15:58:50 -0800 > From: Nicholas Waltner <nwaltner at attbi.com> > To: <R-help at stat.math.ethz.ch> > > Hello, > > When I run the garch examples, I get the following output: > > > dax.garch <- garch(dax) > > ***** ESTIMATION WITH ANALYTICAL GRADIENT *****

> Subject: [R] LRT in arima models > Date: Mon, 17 Feb 2003 11:53:04 +0100 > From: "vito muggeo" <vito.muggeo at giustizia.it> > To: <r-help at stat.math.ethz.ch> > > Dear all, > > For some reason I'm evaluating the size of the LRT testing for the effect of > some explanatory variable in arima models. > I performed three different simulations

A new version of tseries (0.9-10) has been uploaded to CRAN. The new version contains the class "irts" for irregularly spaced time series. Irregular time series are basically time series where each observation (uni- or multivariate) has a time-stamp represented by an object of class "POSIXct". It provides some basic functionality such as reading and writing irregular time

A new version of tseries (0.9-10) has been uploaded to CRAN. The new version contains the class "irts" for irregularly spaced time series. Irregular time series are basically time series where each observation (uni- or multivariate) has a time-stamp represented by an object of class "POSIXct". It provides some basic functionality such as reading and writing irregular time

Ok I made Jarque-Bera test to the residuals (merv.reg$residual) library(tseries) jarque.bera.test(merv.reg$residual) X-squared = 1772.369, df = 2, p-value = < 2.2e-16 And I reject the null hypotesis (H0: merv.reg$residual are normally distributed) So I know that: 1 - merv.reg$residual aren't independently distributed (Box-Ljung test) 2 - merv.reg$residual aren't indentically

Thanks a lot for "tseries"! The new (0.1-2) version of the tseries package contains the following in ./README : >> Author(s): A. Trapletti <A.Trapletti@ci.tuwien.ac.at>, >> B. LeBaron ("./src/bdstest.c"), >> K. Krischer, and T. M. Kruel ("./src/muin2ser.f", >> "./misc/mutinfo-1.21b.tar.gz") >>

Hello, I would like to use the BDS test from the tseries package, but there is something I don't understand in the results of the test. Let's say, I want the BDS values for an embedding dimension equal to 2 : > bds.test(c, m = 2, eps = seq(0.5 * sd(c), 2 * sd(c), length = 4),trace=FALSE); Here are the outputs: data: c Embedding dimension = 2 Epsilon for close points = 0.0097

-------- Original Message -------- Subject: [R] Re: tseries Package for R Date: Mon, 27 Sep 2004 23:56:34 -0800 From: Martin Renner <martin.renner at stonebow.otago.ac.nz> To: Adrian Trapletti <a.trapletti at bluewin.ch> References: <61CBB4C9-10C7-11D9-A624-000D932E990C at comcast.net> <4158F5B6.3020103 at bluewin.ch> see http://cran.stat.ucla.edu/bin/macosx/ and

tseries_0.3-0 at CRAN now contains the following new features: NelPlo Nelson-Plosser Macroeconomic Time Series garch Fit GARCH Models to Time Series get.hist.quote Download Historical Finance Data jarque.bera.test Jarque-Bera Test na.remove NA Handling Routines for Time Series garch contains a GARCH estimation routine together

tseries_0.3-0 at CRAN now contains the following new features: NelPlo Nelson-Plosser Macroeconomic Time Series garch Fit GARCH Models to Time Series get.hist.quote Download Historical Finance Data jarque.bera.test Jarque-Bera Test na.remove NA Handling Routines for Time Series garch contains a GARCH estimation routine together

Fritz, I have slightly adapted (didn't work before) "tsboot" from the "boot" library to the current time series conventions of R. The following patch will do that. I suggest to apply this patch to the file "boot/R/bootfuns.q" of the "boot" library at CRAN. best Adrian --- bootfuns.orig.q Thu Dec 9 10:07:23 1999 +++ bootfuns.q Thu Dec 9 10:06:51 1999

Fritz, I have slightly adapted (didn't work before) "tsboot" from the "boot" library to the current time series conventions of R. The following patch will do that. I suggest to apply this patch to the file "boot/R/bootfuns.q" of the "boot" library at CRAN. best Adrian --- bootfuns.orig.q Thu Dec 9 10:07:23 1999 +++ bootfuns.q Thu Dec 9 10:06:51 1999

There seems to be a problem with plot.ts (R Version 0.64.2) >x<-cbind(1:10,2:11) >x<-as.ts(x) >plot(x) Error: subscript (20) out of bounds, should be at most 10 > The problem is located in "[.ts": > x<-cbind(1:10,2:11) > x[is.finite(x)] [1] 1 2 3 4 5 6 7 8 9 10 2 3 4 5 6 7 8 9 10 11 > x<-as.ts(x) > x[is.finite(x)] Error: subscript

Hi I am looking to perform a discrete mean-variance optimisation, specifically to maximise the ratio of portfolio mean over portfolio standard deviation for a portfolio of several hundred stocks through discrete position size holdings in each stock, where all position sizes must be elements of a small finite set of integer amounts which include zero. I don't think any of the standard R

Hi I am looking to perform a discrete mean-variance optimisation, specifically to maximise the ratio of portfolio mean over portfolio standard deviation for a portfolio of several hundred stocks through discrete position size holdings in each stock, where all position sizes must be elements of a small finite set of integer amounts which include zero. I don't think any of the standard R