similar to: Tail Call Elimination?

Dear R-programmers, I am trying out certain methods in R, and the statistics require me to calculate n-(sample size) dimensional equations. They are not really very hard to solve - my home-brew implentation of Newton-Raphson in R succeeds most of time with simulated data. (Note that I am assured of a unique solution by theory). Problem comes in with real data, for which I should really implement

Dear R-programmers, I would like to use one of the AS Algorithms that used to be published in the journal Applied Statistics of the Royal Statistical Society (Series C). FORTRAN code based on these are available on the Statlib website at http://lib.stat.cmu.edu/modules.php?op=modload&name=PostWrap&file=index&page=apstat/ with the disclaimer, *"The Royal Statistical Society

Dear R-developers, I am trying to experiment with projection pursuit (PP), and different indexes for the same, especially using the tourr package. However, I've noticed that a PP index in the said package is only a function of the projected data. Could I modify the function so that the index sees the projection bases instead (or in addition to the data) ? Alternatively, if some other package

Hi I am currently using facebooker to do some facebook connect. I found out that these functions are currently missing from facebooker connect.registerUsers connect.unregisterUsers I have modified user.rb and parser.rb to get these function going. I have verified that it works and would love to contribute stuff back. However I can''t figure out how to go about it. Any help would be

Hi I am trying to use facebooker with an existing website that already has a model named ''User''. I therefore created a model called BkUser for use with facebooker. Also I have different controllers for all facebook requests. I am using acts_as_authenticated for handling login etc for my website and everytime a user is logged into my facebook app and tries to also browse the

hi im a newbie to networking and vpns.so plz pardon my mistakes. i installed tinc 1.0.9 and followed the tinc setup instructions as in the tinc-windows example. after i hav started the tinc service with tincd -n command the service starts and then stops abrupty giving the message " the tinc.test service on the local computer has started and then stopped.Some services stop automatically if

Would anyone like to explain if callCC in R 2.7.0 gives anything that on.exit does not already provide? It seems that the exit condition once defined cannot be added to overridden whereas with on.exit multiple on.exit's add additional on.exits rather than being ignored. Is this important?

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Interestingly, the <<- operator is also a lot faster than using a namespace explicitly, and only slightly slower than using <- with local variables, see below. But, surely, both must at some point insert values in a given environment ? either the local one, for <-, or an enclosing one, for <<- ? so I guess I am asking if there is a more low-level assignment operation I can get my

Hi guys, I am working on some code for automatically translating recursive functions into looping functions to implemented tail-recursion optimisations. See https://github.com/mailund/tailr As a toy-example, consider the factorial function factorial <- function(n, acc = 1) { if (n <= 1) acc else factorial(n - 1, acc * n) } I can automatically translate this into the loop-version

I've been finding that the "loose ends" in many of these older codes cause more trouble than it is worth in their use. When I encounter them, I've attempted to re-program the algorithm in R. A lot of the Fortran code is because of the software structure the author used and nothing to do with the job to be done. If you can prepare an R function for this, you'd be doing the R

Following up on this attempt of implementing the tail-recursion optimisation ? now that I?ve finally had the chance to look at it again ? I find that non-local return implemented with callCC doesn?t actually incur much overhead once I do it more sensibly. I haven?t found a good way to handle parallel assignments that isn?t vastly slower than simply introducing extra variables, so I am going with

Hi Philip, > Aside: From the documentation, it's actually unclear how strong a barrier > ISB actually is. The "fetched after the ISB" gives a lot of room for > interpretation. (i.e. is it legal for a cpu to fetch every instruction in a > function, queue them for execution under wait conditions, *then* fetch the > ISB? This would be a *really* weird implementation,

On 24 June 2014 01:55, Philip Reames <listmail at philipreames.com> wrote: > > On 06/19/2014 09:35 AM, Yi Kong wrote: >> >> Hi all, >> >> I'm currently working on implementing ACLE extensions for ARM. There >> are some memory barrier intrinsics, i.e.__dsb and __isb that require >> the compiler not to reorder instructions around their

On 13/09/2017 5:23 AM, Brayford, David wrote: > When I try to install gsl in R I get the error Need GSL version >= 1.12 . However, I have version 2.3 of gsl installed on the system, which is picked up earlier in the configure process (see below). Is it possible for someone to fix this error in the configure script? > > checking for gsl-config...

No clue, but see ?assign perhaps if you have not done so already. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Feb 27, 2018 at 6:51 AM, Thomas Mailund <thomas.mailund at gmail.com> wrote: > Interestingly, the

When I try to install gsl in R I get the error Need GSL version >= 1.12 . However, I have version 2.3 of gsl installed on the system, which is picked up earlier in the configure process (see below). Is it possible for someone to fix this error in the configure script? checking for gsl-config... /lrz/sys/libraries/gsl/2.3/bin/gsl-config checking if GSL version >= 1.12... checking for gcc...

I have an upcoming JASA paper with an iid sampling algorithm for Bayesian Generalized Linear models (e.g., Logit, Poisson Regression, and Conditional Logit models with multivariate normal priors). At this point, I have implemented the algorithms in C and hope to make the functions and corresponding source code available through an R package. I have successfully created the code necessary to

On 13/09/2017 9:10 AM, David Brayford wrote: > Hi Duncan, > > The output of gsl-config --version > 2.3 > > The output of gsl-config --cflags > -I/lrz/sys/libraries/gsl/2.3/include > > The output of gsl-config --libs > -L/lrz/sys/libraries/gsl/2.3/lib -lgsl -lgslcblas -lm > > gsl_version.h cat output > #define GSL_VERSION "2.3" > #define

Dear R users: I have a problem when installing the R package *gsl*. The procedure is as follows: (1) Since it needs a GSL vesion >=1.12, and the GSL library on the serve I use is too old, I download GSL 1.15 and install it in my own account, such as $HOME/local/gsl. Because I do not have root access, so it cannot be installed in standard folder. (2) Then I download the source code of R