I finally figured out, it was a syntax error, as the new assigned object was
not an arma:: mat but an element from a list
I took care of the problem by using ui = Rcpp::as(all_ui[i]) in
the reaffectation
Thank you again all for your help
On Wed, Jun 15, 2011 at 11:00 PM, Dirk Eddelbuettel wrote:
On 15 June 2011 at 20:17, Nicolas Heslot wrote:
| Any idea about this variable reaffectation thing?
Well ... that still make little sense. Variables are not protected; there is
nothing stopping you from re-assigning values, be it element-wise, row or
column-wise, or as a whole matrix. So I suspec
I've also written MCMC code using arma and have no trouble overwriting
(assuming that's what reaffectation is) matrices.
On Jun 15, 2011, at 8:17 PM, "Nicolas Heslot" wrote:
Well,
That's sound good,
The distribution I need are multivariate normal, inverse gaussian.
Though, the biggest issu
Well,
That's sound good,
The distribution I need are multivariate normal, inverse gaussian.
Though, the biggest issue is that for one of the parameter there is no
closed form so I am using Metropolis Hastings for it.
Any idea about this variable reaffectation thing?
It seems to be specific to arma
I'm not giving up yet. I'll implement the distribution that is
missing, and send you the example if you lay out your model w/
pseudocode.
-Whit
On Wed, Jun 15, 2011 at 7:59 PM, Nicolas Heslot wrote:
> Hi,
>
> Thank you for your quick answer.
> Sorry that I did not explain well enought my issue
Hi,
Thank you for your quick answer.
Sorry that I did not explain well enought my issue.
I did not know about cppbugs but I just checked and it does not seem that I
can use it for my model because it lacks some of the distribution I need.
The fraction of code could seems obscure but it is just the
Salut Nicolas,
On 15 June 2011 at 17:03, Nicolas Heslot wrote:
| Hi rcpp-devel!
| First of all thank you for this awesome tool!
Pleasure, and welcome.
| I started a few days ago coding with Rcpp to try to reduce the computing time
| of a MCMC model.
| However, I don't have experience with C/C+
You're not the only person working on MCMC w/ Rcpp.
I'm not sure about your exact question, but if you provide a .bug file
or write your model in pseudo code (i.e. alpha ~ dnorm(0, tau)), then
I'll write up a cppbugs example for you.
-Whit
On Wed, Jun 15, 2011 at 5:03 PM, Nicolas Heslot wrote
Hi rcpp-devel!
First of all thank you for this awesome tool!
I started a few days ago coding with Rcpp to try to reduce the computing
time of a MCMC model.
However, I don't have experience with C/C++ and I can't figure out how to
reaffect a new content to a variable.
This seems probably very simpl
On 15.06.2011, at 20:57, Dirk Eddelbuettel wrote:
> On 15 June 2011 at 20:07, soeren.vo...@uzh.ch wrote:
> | We refer to the discussion about the namespace error, e.g., here
> [...]
> | And the CHECK error reads:
> | Error: .onLoad failed in loadNamespace() for 'GUTS', details:
> | call: value[[
On 15 June 2011 at 20:07, soeren.vo...@uzh.ch wrote:
| We refer to the discussion about the namespace error, e.g., here
[...]
| And the CHECK error reads:
| Error: .onLoad failed in loadNamespace() for 'GUTS', details:
| call: value[[3L]](cond)
| error: failed to load module modguts from packa
Hello
(BCC recipients FYI.)
We refer to the discussion about the namespace error, e.g., here
http://lists.r-forge.r-project.org/pipermail/rcpp-devel/2011-June/002435.html
We have not yet get rid of the error, although the package load fine after
installation. Just exposing the module and creat
I'm not sure if this is what you're looking for and I don't know if
this is the official way to extract them, but if you have an object
called obj and know the name of an attribute, you can extract the
attribute using obj.attr( "attribute_name" ). You can get a vector
with all the attributes of an
I was looking for an extractor for the dimnames (i.e.
R_DimNamesSymbol) from the Rcpp Matrix classes but didn't find one.
Have I overlooked something?
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On Wed, Jun 15, 2011 at 6:38 AM, Jonas Rauch wrote:
> Hey again,
>
> just to clarify: The final solution was to implement all methods of the
> derived class that are to be exposed to R and to call the method of the base
> class explicitly:
>
> class Bar : public Foo {
> ...
> void doSometh
Hey again,
just to clarify: The final solution was to implement all methods of the
derived class that are to be exposed to R and to call the method of the base
class explicitly:
class Bar : public Foo {
...
void doSomething() { Foo::doSomething() }
};
Of course that is not very elegant b
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