similar to: how to check as CRAN with alternative BLAS?

On 29 December 2019 at 16:39, steven pav wrote: | One of my packages is slated to be archived from CRAN due to failures when | the ATLAS BLAS is used. I am unable to replicate the error on my machine | under R 3.6.1 using the atlas library from ubuntu (seems to be 3.10.2-9, | while the good professor is using 3.10.3 per | https://www.stats.ox.ac.uk/pub/bdr/Rblas/README.txt ). I also tried the |

One comment: For your R devel example you didn't use spaces in the expression, i.e. maybe that's broken too with spaces? Three questions: Does it work if you avoid spaces? Does it work if you use single quotes? Does this also occur for Rscript? Thxs Henrik On Dec 5, 2017 03:44, "G?bor Cs?rdi" <csardi.gabor at gmail.com> wrote: I wonder if this is intended. Thanks,

Sorry for not reading carefully and thanks for confirming problem with Rscript too. On Dec 5, 2017 08:47, "G?bor Cs?rdi" <csardi.gabor at gmail.com> wrote: > On Tue, Dec 5, 2017 at 4:40 PM, Henrik Bengtsson > <henrik.bengtsson at gmail.com> wrote: > > One comment: > > For your R devel example you didn't use spaces in the expression, i.e. > maybe

My latest submission of survival3.1-10 to CRAN fails? a check, but only on windows, which I don't use. How do I track this down? The test in question works fine on my Linux box. Terry [[alternative HTML version deleted]]

Le 10/01/2023 ? 11:37, Serguei Sokol a ?crit?: > Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: >> Dear R-devel people, >> >> We are working to submit a package which is mainly a binding over a >> C++ lib (https://github.com/libKriging) using armadillo. >> It is _not_ a standard RcppArmadillo package, because we also had to >> provide a python binding... so

Thank you for your answer. In facts, 10 threads are asked by armadillo for some LinAlg, which backs to two threads as warned. But I cannot imagine this costs so much time just for that... A deeper analysis of time spent seems to point that a large time was mainly spent on testthat and Rcpp dependencies compilation... But other recent packages depending on these also are not spending so much time.

Dear R-devel people, We are working to submit a package which is mainly a binding over a C++ lib (https://github.com/libKriging) using armadillo. It is _not_ a standard RcppArmadillo package, because we also had to provide a python binding... so there is a huge layer of cmake & scripting to make it work with a standard armadillo (but using same version that RcppArmadillo). It seems now

Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: > Dear R-devel people, > > We are working to submit a package which is mainly a binding over a C++ lib (https://github.com/libKriging) using armadillo. > It is _not_ a standard RcppArmadillo package, because we also had to provide a python binding... so there is a huge layer of cmake & scripting to make it work with a standard armadillo

Dear colleagues! In early 2009 there was a discussion about fast BLAS library initiated by Sachin. He reported a faster BLAS library made by Nvidia CUBLAS library. Uwe Ligges showed an interest for placing the optimized rblas.dll into windows/contrib section managed by him. Unfortunately there is no any CUBLAS version of rblas.dll in this section at present. So, is anybody interested in CUBLAS

Executive summary: I believe revision 86265 makes it more difficult to build R with OpenBLAS on Windows as now the entire LAPACK needs to be built to obtain zspmv. Is there anything that can be done to allow the former behavior to be used, something in Mkrules.local perhaps? Detailed Explanation: I have been building R with OpenBLAS for Windows 64 for over a decade by patching

Hi, for diagnostic purposes, I would like to get information about the BLAS / LAPACK linked against R from within an R-session. An obvious application could be safety-checks for packages like Matrix and quantreg at load / attach - time. Also you could be more precise on the "framework" in which R is running for comparable benchmark timings on different systems. Perhaps this

Good afternoon. I am trying to compile a version of Rblas.dll based on ATLAS for the Corei7. I had remembered that there was mention of which file to adjust and that "xerbla" needed to be removed from one of the outputs from the last time I tried a few years ago. The most recent version of the R Installation manual does not say anything about this. An older version (2.10 I believe) has

Hi. I have a problem with the default behavior of sample(), which performs sample(1:x) when x is a single value. This behavior is well explained in ?sample. However, this behavior is annoying when the number of value is not predictable. Would it be possible to add an argument that desactivates this and perform the sampling on a single value ? Examples: > sample(10, size = 1, replace = FALSE)

Hi everyone, I have made a faster BLAS library thanks to Nvidia CUBLAS library. I was wondering how I could upload this new Rblas.dll. I've included a powerpoint presentation I made on the project. Highlights include upto 2000% improvement in matrix multiplication timings. Unfortunately the link included in the presentation is only accessible by CSIRO employees only. I will gladly include

Hi. I have a problem with the default behavior of seq(), which gives the argument "from" when the argument length.out = 1. This behavior is annoying when the number of value determine in length.out is not predictable. Would it be possible to add an argument that propose the median/mean, i.e. (from + to) / 2 when length.out = 1 ? Examples: > seq(from = 1, to = 11, length.out=1) #

This code works on an older version of Ruby and Rails but not with Ruby 1.8.6 and Rails 1.2.5. The code is so simple that I can''t figure out where the problem is. profile_controller.rb class ProfileController < ApplicationController def show @profile = Profile.find_by_school_id(params[:id]) end end ----------------------------------------------------------- profile.rb class

On 27 January 2017 at 21:54, G?bor Cs?rdi wrote: | On Fri, Jan 27, 2017 at 9:28 PM, Da Zheng <zhengda1936 at gmail.com> wrote: | > What major R platforms does this policy refer to? | > | | Linux, macOS, Windows. | | | > Currently, my package runs in Ubuntu. If it works on both Ubuntu and | > Redhat, does it count as two platforms? | > | | I think that Linux is just one. Is

Dear list, What is the recommended incantation on Fedora 32 to swap out the openblas BLAS that the packaged (rpm) version of R-core installs for ATLAS? I'm running into some problems with some big models I want to fit using the mgcv package, and openblas is apparently not thread safe and is causing problems. I have the following installed: $ dnf list installed | grep ^R R-core.x86_64

Thanks for your answer. The rational behind my proposal is why taking "from" when length.out=1, more than "to" or "NA", or " integer(0) " ? This question seems basic. But is is not in certain situations, like when length.out = unpredictable positive integer. And I haven't found in ?seq() the particular behavior of this function when length.out = 1.

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