Have you checked out 'copula' package?
On 11 June 2014 00:36, Suzen, Mehmet wrote:
> yes you can.
>
> On 7 June 2014 16:04, mudit gupta wrote:
>> Hi guys,
>>
>> can i fit a copula to two marginal distributions with different sample
>> size?
>> like one has 2340 observations and other has 1912.
yes you can.
On 7 June 2014 16:04, mudit gupta wrote:
> Hi guys,
>
> can i fit a copula to two marginal distributions with different sample
> size?
> like one has 2340 observations and other has 1912.
>
> thanks
> Mudit
>
> [[alternative HTML version deleted]]
>
> __
t.org [mailto:r-help-boun...@r-project.org] Im
Auftrag von Dennis Murphy
Gesendet: Freitag, 25. November 2011 09:10
An: cahaya iman
Cc: r-help@r-project.org
Betreff: Re: [R] Copula Fitting Using R
Hi:
This is the type of question for which the sos package can come to the rescue:
library(
library(copula) could be helpful as well.
## Toy example for gumbel copula with log-normal distribution
## (Taken from the documentation of copula::fitMvdc)
## Specify the copula
gumbel.cop <- gumbelCopula(3, dim=2)
myMvd <- mvdc(gumbel.cop, c("lnorm","lnorm"), list(list(meanlog = 1.17),
nhard
>
> ps: The package maintainer of QRMlib is aware of the problem and hopefully,
> the package QRMlib is fixed quite soon.
>
> -Ursprüngliche Nachricht-
> Von:r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im
> Auftrag von Dennis Murphy
> Gese
b is fixed quite soon.
-Ursprüngliche Nachricht-
Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im
Auftrag von Dennis Murphy
Gesendet: Freitag, 25. November 2011 09:10
An: cahaya iman
Cc: r-help@r-project.org
Betreff: Re: [R] Copula Fitting Using R
Hi:
This is
Hi:
This is the type of question for which the sos package can come to the rescue:
library('sos')
findFn('Gumbel Clayton copula')
It appears that the QRMlib package would be a reasonable place to start.
Dennis
On Thu, Nov 24, 2011 at 7:29 PM, cahaya iman wrote:
> Hi,
>
> Is anybody using Copu
first, verify the class of your data by the following code:
class(data)
the class must be numeric
if ok
the problem can be caused from the starting value. Try choose other value.
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