I have updated and moved the notes on the new toolchain. Their URL is
https://rawgit.com/kevinushey/RToolsToolchainUpdate/master/mingwnotes.html
Thanks to Kevin for setting this up. Anyone who can solve the problems
on that page, or who finds a new problem, please get in contact with us
by emai
nls() is using
1) only a Gauss-Newton code which is prone to some glitches
2) approximate derivatives
Package nlmrt uses symbolic derivatives for expressions (you have to
provide Jacobian code for R functions) and an aggressive Marquardt
method to try to reduce the sum of squares. It does return m
Hi All,
this is a CRAN question, so I am sorry if this is not the appropriate forum.
I noticed that there is at least one CRAN package that has a binary (OSX
Mavericks) for a version, that does not have any source package on CRAN. Or
at least I am unable to locate it. The package is Rglpk:
http:/
On Thu, Mar 19, 2015 at 10:46 AM, Gábor Csárdi wrote:
> Hi All,
>
> this is a CRAN question, so I am sorry if this is not the appropriate forum.
>
> I noticed that there is at least one CRAN package that has a binary (OSX
> Mavericks) for a version, that does not have any source package on CRAN. O
On Thu, Mar 19, 2015 at 10:54 AM, John McKown
wrote:
> On Thu, Mar 19, 2015 at 10:46 AM, Gábor Csárdi wrote:
>> Hi All,
>>
>> this is a CRAN question, so I am sorry if this is not the appropriate forum.
>>
>> I noticed that there is at least one CRAN package that has a binary (OSX
>> Mavericks) f
On Thu, Mar 19, 2015 at 11:54 AM, John McKown
wrote:
> On Thu, Mar 19, 2015 at 10:46 AM, Gábor Csárdi
> wrote:
>
[...]
> > http://cran.r-project.org/web/packages/Rglpk/index.html
>
> I went there and say a source package:
>
>
>
> Downloads:
>
> Reference manual:Rglpk.pdf
> Package source:Rglpk
On Thu, Mar 19, 2015 at 11:59 AM, John McKown
wrote:
[...]
>
> OOPS, I saw the 0.6 package source, not 0.5. My mistake. Why not
> recompile? Do you require 0.5 for some reason? I would guess that CRAN
> requires only the _current_ source, not _every_ source.
Well, it seems to me that for the OSX
- Original Message -
> From: "Gábor Csárdi"
> To: "John McKown"
> Cc: r-devel@r-project.org
> Sent: Thursday, March 19, 2015 9:03:37 AM
> Subject: Re: [Rd] CRAN binary, but no source
>
> On Thu, Mar 19, 2015 at 11:59 AM, John McKown
>
> wrote:
> [...]
> >
> > OOPS, I saw the 0.6 packa
On Thu, Mar 19, 2015 at 2:04 PM, Dan Tenenbaum
wrote:
[...]
>
> Because the latest version failed to build on Mavericks:
>
>
> http://www.r-project.org/nosvn/R.check/r-release-osx-x86_64-mavericks/Rglpk-00install.html
>
> Possibly because a system requirement is not installed.
>
Thanks, indeed.
- Original Message -
> From: "Gábor Csárdi"
> To: "Dan Tenenbaum"
> Cc: r-devel@r-project.org, "John McKown"
> Sent: Thursday, March 19, 2015 11:15:47 AM
> Subject: Re: [Rd] CRAN binary, but no source
>
>
>
>
> On Thu, Mar 19, 2015 at 2:04 PM, Dan Tenenbaum <
> dtene...@fredhutch.o
On Thu, Mar 19, 2015 at 2:19 PM, Dan Tenenbaum
wrote:
[...]
>
> In github? ;-)
>
Well, that's the thing. If github/cran is a read-only mirror, then should I
delete these versions from there, too? :) On CRAN not just the files are
missing, but these versions are also missing from the RDS database
> On 19 Mar 2015, at 19:45 , Gábor Csárdi wrote:
>
> On Thu, Mar 19, 2015 at 2:19 PM, Dan Tenenbaum
> wrote:
> [...]
>
>>
>> In github? ;-)
>>
>
> Well, that's the thing. If github/cran is a read-only mirror, then should I
> delete these versions from there, too? :) On CRAN not just the fil
On 19/03/2015 2:55 PM, peter dalgaard wrote:
> On 19 Mar 2015, at 19:45 , Gábor Csárdi wrote:
>
> On Thu, Mar 19, 2015 at 2:19 PM, Dan Tenenbaum
> wrote:
> [...]
>
>>
>> In github? ;-)
>>
>
> Well, that's the thing. If github/cran is a read-only mirror, then should I
> delete these versions fro
This is a Request For Comment, also BCCed to 390 package maintainers
of reverse dependencies of the Matrix package.
Most users and package authors working with our 'Matrix' package will
be using it for numerical computations, and so will be using
"dMatrix" (d : double precision) matrix objects M,
Hi Martin
I got stung by this last week.
glmnet produces a coefficient matrix of class “dgCMatrix”
If a predictor matrix was created using sparseMatrix as follows,
one gets unexpected results, as this simple example shows.
My fix was easy (I always convert the predictor matrix to class “dgCMatrix”
Hi Martin,
package arules heavily relies on ngCMatrix and uses multiplication and
addition for logical operations. I think it makes sense that in a mixed
operation with one dgCMatrix and one ngCMatrix the ngCMatrix should be
"promoted" to a dgCMatrix.
The current behavior of %*% and friends
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