similar to: R 4.0.0 with Intel MKL for Windows

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.

Dear All, Are there any plans around that "R CMD INSTALL some_package_containing_java_source code" supports Java source code compiling in future versions of R similar to compiling C/C++ and/or Fortran sources in the src directory? Best regards Adrian -- Dr. Adrian Trapletti Steinstrasse 9b CH-8610 Uster Switzerland Phone : +41 (0) 44 9945630 Mobile : +41 (0) 79 1037131 Email :

> 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

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

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

> I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, I successfully built R-rc_2017-04-19_r72555.tar.gz with icc & MKL on centos 7 with this: # https://software.intel.com/en-us/articles/build-r-301-with-intel-c-compiler-and-intel-mkl-on-linux#

I am having trouble of compiling R 3.0.2 with MKL 11.1.0.080; tried the following resources: http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor http://cran.r-project.org/doc/manuals/R-admin.html#MKL http://software.intel.com/en-us/comment/reply/328415 and getting the following: *checking for dgemm_ in -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group

There is nothing here indicating any kind of error, so no way to give any insights .... And please do follow the posting guide, including not posting HTML. FWIW, I have tested R 3.4.0 RC (sic) with MKL 11.3, which is later than your 2013 ... (on x86_64 Fedora 24). On 20/04/2017 10:39, jing hua zhao wrote: > Dear R-developers, > > > I would appreciate any insights over compiling R

Dear all, Given that the Intel MKL multithreaded BLAS is now free (https://software.intel.com/en-us/mkl/choose-download, released under the very permissive Intel Simplified Software License, https://software.intel.com/en-us/license/intel-simplified-software-license) and that this BLAS comes out as the fastest in most benchmarks, and that Microsoft R Open compiled against Intel MKL seems to be

Hi Guillaume, In principle, mycrossprod function does not need to PROTECT "ans", because it does not call any allocating function after allocating "ans" ("dgemm" in particular should not allocate from the R heap). So it is surprising that PROTECTion makes a difference in your case. I agree there is no harm protecting defensively. R itself calls dgemm with the R

I wonder if anyone has already built a Fedora package for R-MKL (did not found entry in rpmfusion)? I just installed parrallel-studio-xe-2016 and would like to build R with the Intel compiler and MKL library on Fedora 22. Shall I thus make my own rpm package to install properly R-MKL ? If yes, I guess I can use the Fedora src.rpm package as a base and modify the R.spce file ? Thank you for hints

Dear all, I would like to submit an issue that we are facing. Indeed, in our environment, we are optimizing the R code to speed up some mathematical calculations as matrix products using the INTEL libraries ( MKL) ( https://software.intel.com/en-us/mkl ) With the last version of the MKL libraries Intel 2018, we are facing to an issue with *all INTERNAL command* that are executing in R.

Hello, I want to compile R-2.15.2 for Windows with Intel compilers and MKL( BLAS, LAPACK). I installed 'Rtools 2.16.0.1923' and follow the instructions of "R installation and administration" guide (3.1; A.3.1.4; C.2.2). I configured "/src/gnuwin32/MkRules.local" and "config.site" according to needed environmental variables (icc, ifort, icpc, mkl..) When

Dear R-developers, I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, ./configure LDFLAGS=-L/genetics/data/software/lib CFLAGS=-fPIC -I/genetics/data/software/include --enable-R-shlib I have used, export MKL_NUM_THREADS=15 export

On our Scientific Linux 6, there is gcc --version gcc (GCC) 4.4.7 20120313 (Red Hat 4.4.7-17) and later version (a symbolic at HOME to the system directory), export MKL=/home/jhz22/11.3.3.210/mkl export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64 ./configure --prefix=/home/jhz22 LDFLAGS=-L/home/jhz22/lib CPPFLAGS=-I/home/jhz22/include \ --enable-R-shlib --with-lapack \

NO Hi. I'm not sure if this is an R-help or R-devel problem, so I'm starting here in the hope that someone can help (and willing to go to the other list if it's more appropriate). I think I am following all of the instructions in the various manuals, but clearly I am missing something. I have an Intel EM64T Dell with 2 dual-core Xeon processors running Red Hat EL5. I would

Hi folks, if you want to use MKL (the fast BLAS I have tested on my Thinkpad T410) with the R 2.14.0 built as Debian/Ubuntu packages available on CRAN mirror, the following tricks may works for without some known side-effects (likes openmp breaking issues), you may try to build your own libblas.so.3gf.0 with following command: $ gfortran -L/opt/intel/lib/intel64 -liomp5