similar to: MKL Acceleration encouraging; need adjust package builds?

Hi Paul, We've been through this process ourselves for the Revolution R Open project. There are a number of pitfalls to avoid, but you can take a look at how we achieved it in the build scripts at: https://github.com/RevolutionAnalytics/RRO There are also some very useful notes in the R Installation guide: https://cran.r-project.org/doc/manuals/r-release/R-admin.html#BLAS Most packages do

Lately, I see a dependency problem with R-3.2 systems. install.packages allows dependencies, but they are not installed so the install fails. I see this a lot with students who are able to install packages like ggplot2 but then can't load it because a dependency "stringi" is missing. Those students are generally using Windows, but today I reproduced the same on RedHat Linux with

Greetings. I see a warning message while compiling OpenMPI and would appreciate it if you tell me what it means. This warning happens with any OpenMPI > 1.6.5. Even before starting a cluster, just "sessionInfo" triggers this warning. I'm pasting in the message from R-3.3.2 (this is MRO). Do the R parallel package cluster functions violate the warnings described here? >

Thierry, I have this: if (require(MatrixModels) && require(Matrix)) { X <- model.Matrix(Terms, m, contrasts, sparse = TRUE) in my function rqss() I've tried variants of requireNamespace too without success. If I understand properly model.Matrix is from MatrixModels but it calls sparse.model.matrix which is part of Matrix, and it is the latter function that I'm not

I'm having trouble with R CMD check of my quantreg package. All is well until I get to: checking running R code from vignettes ... ?rq.Rnw? ... failed ERROR Errors in running code in vignettes: when running code in ?rq.Rnw? when I see a snippet from the vignette code and then: Loading required namespace: MatrixModels When sourcing ?rq.R?: Error: could not find function

Hi, I've got a problem that sounds a lot like this, http://r.789695.n4.nabble.com/Re-R-R-2-12-0-hangs-while-loading-RGtk2-on-FreeBSD-td3005929.html under windoze 7. but it seems to hang with this stack trace, #0? 0x77830190 in ntdll!LdrFindResource_U () ?? from /cygdrive/c/Windows/system32/ntdll.dll building goes as follows, $ ./R CMD INSTALL --no-test-load nlme_3.1-97.tar.gz *

>From this change (res_rtp_asterisk): ast 13.10 to 13.11 webrtc JSSIP stop working, failing with chan_sip.c:4083 retrans_pkt: Hanging up call 7238b48c11581d4166b899bf747a05f7 at 130.211.62.184:0 - no reply to our critical packet (see https://wiki.asterisk.org/wiki/display/AST/SIP+Retransmissions). is there any way to configure to have the previous behaviour? Im trying to set

Hi Is there known advices on how to favor PFS with dovecot? In Apache, I use the following directives, with cause all modern browsers to adopt 256 bit PFS ciphers, while keeping backward compatibility with older browsers and avoiding BEAST attack: SSLProtocol all -SSLv2 SSLHonorCipherOrder On SSLCipherSuite ECDHE at STRENGTH:ECDH at STRENGTH:DH at STRENGTH:HIGH:-SSLv3-SHA1:-TLSv10

Dear list, Can anyone tell me how to obtain the rank of a sparse Matrix, for example from package Matrix (class dgCMatrix)? Here is an example of QR decomposition of a sparse matrix (from the sparseQR class help). library(Matrix) data(KNex) mm <- KNex$mm str(mmQR <- qr(mm)) Similarly, using the functions/classes from the relatively new MatrixModels package: library(MatrixModels)

Hi all: I am trying to get the return value of a call instruction that I inserted during the optimization pass I wrote. I have something like the following: CallInst *InitCall = CallInst::Create(InitFn, Args.begin(), Args.end(), "log_load_addr_ret", LI); CastInst *InsertedCast =

Dear all, I tried to do a backport of 'ssl_prefer_server_ciphers' (http://hg.dovecot.org/dovecot-2.2/rev/897484f45a87/) to Dovecot 2.1 (namely the Debian version of Dovecot) and wanted to ask if there is any chance to integrate this feature into Dovecot 2.1 'upstream' as well. As the code structure changed quite a bit, I am not sure if my patch is complete. I tested it with pop3s

Dear all, Can anyone help me, my R software can not run a nested linear regression by using the lme funcion. The message that appears is  Error: could not find function "lme" I already downloaded and loaded the package, please see below. Thank you in advance for any help! Nadia. > data<-read.csv("/Users/nadiasan1/Desktop/MOE and MOR.csv")> attach(data)>

Hello, I'm cross posting this from the OpenSwan mailing list, in case someone here can help. We have two sites connected via OpenSwan 2.6.32-9 on CentOS 5, sharing 6 /24 subnets each (so 12 in total). The problem we're having is completely randomly, be it in the middle of the day, or in the middle of the night (so I don't believe it's traffic related), certain (and sometimes

Thanks. Couldn't you implement model.matrix(..., sparse = TRUE) with a small amount of R code similar to MatrixModels::model.Matrix ? On Mon, Feb 29, 2016 at 10:01 AM, Martin Maechler <maechler at stat.math.ethz.ch> wrote: >>>>>> Karl Millar via R-devel <r-devel at r-project.org> >>>>>> on Fri, 26 Feb 2016 15:58:20 -0800 writes: > >

> On Mar 26, 2015, at 8:50 AM, Martyn Plummer <plummerM at iarc.fr> wrote: > > On Wed, 2015-03-25 at 15:12 -0500, Roger Koenker wrote: >> Thierry, >> >> I have this: >> >> if (require(MatrixModels) && require(Matrix)) { >> X <- model.Matrix(Terms, m, contrasts, sparse = TRUE) > > You have this in the current release, which

"May you live in interesting times" Is this a curse or a blessing? :) I've just tested a 3.1.5 GlusterFS native client against a 3.1.3 storage pool using this volume: Volume Name: pfs-rw1 Type: Distributed-Replicate Status: Started Number of Bricks: 2 x 2 = 4 Transport-type: tcp Bricks: Brick1: jc1letgfs16-pfs1:/export/read-write/g01 Brick2: jc1letgfs13-pfs1:/export/read-write/g01

RHEL 6 installed R version 3.2.3 from EPEL installed Start R and use the following command, but got warnings! install.packages("rstan", dependencies = TRUE, repos = "http://cran.r-project.org/") ... g++ -m64 -shared -L/usr/lib64/R/lib -L/usr/local/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/usr/lib64/R/lib -lRlapack -L/usr/lib64/R/lib -lRblas -lgfortran -lm

Dear list, I have been working with the MatrixModels package quite a bit this week, and it is proving to be extremely valuable for my current work (I am working with several factors with many levels, leading to a sparse model matrix). However, as my knowledge of statistical theory leaves much to be desired, there are certain aspects of model evaluation etc that I am having trouble with. Has

Hi there, I'm trying to install the package RcppArmadillo in my R 2.11.1 which I installed and regularly update via Ubuntu's repositories. When I try to install RcppArmadillo from CRAN I get: > install.packages('RcppArmadillo', lib='~/myRlibs') [...] g++ -shared -o RcppArmadillo.so RcppArmadillo.o fastLm.o -L/home/matias/myRlibs/Rcpp/lib -lRcpp

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