G'day all,
In Chapter 1.4 (Writing package vignettes) the Writing R Extensions
manual states:
By default @code{R CMD build} will run @code{Sweave} on all
Sweave vignette source files in @file{vignettes}. If
@file{Makefile} is found in the vignette source directory, then
G'day all,
I guess it is still early enough in the year to wish everybody a happy
and successful new year.
I thought I should report that the installation of the CRAN package
rstan regularly fails on my machine (a 64 bit linux box running Xubuntu
15.10). The reason being that I have the 32-bit a
Dirk,
I am sorry if it sounded disrespectful. On the contrary, as I said,
your packages Rcpp and RcppArmadillo work very well, and use both of
them in more "complex" applications. However, in this particular case
in which I have just one object of one type (matrix double) with its
elements stored
John,
On 11 January 2016 at 07:44, ProfJCNash wrote:
| I've not worked changing underlying computational infrastructure, but
| developers who do might want to use ideas from FlexiBLAS. Apologies in
| advance if this is well-known.
You have been able to do that at the OS level, given a suitable O
I don't want to sound disrespectful, but why not use RcppArmadillo if
simplicity is you goal?
It is hard to beat the _fully automatic_ conversion:
R> cppFunction("arma::mat doubleUp(const arma::mat & x) { return 2*x; }",
depends="RcppArmadillo")
R> doubleUp(matrix(1:9,3,3))
[,1] [,2] [,3]
I've not worked changing underlying computational infrastructure, but
developers who do might want to use ideas from FlexiBLAS. Apologies in
advance if this is well-known.
Best JN
> From: Martin Koehler koehl...@mpi-magdeburg.mpg.de
> Date: January 07, 2016
> Subject: FlexiBLAS Version 1.3.0 Rele
