[R] markov regime switching models

2012-04-04 Thread Marie Morel

Dear Sir,
I saw a question from a member in 2007 asking for regime switching model 
and I am looking for the same kind of model.
I also saw a "project" named RSNL but I don't know if this one is 
available and if we can have access to the code to change things if 
needed... actually I used to build my own models and not ask somebody 
but this one is relatively easy but long to implement so I wanted to 
skip this phase :-)

I thus wanted to know if this model was available for download ?
Thanks for your answer
Mary

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Re: [R] markov regime switching models

2007-11-04 Thread Liviu Andronic
Hello,

On 10/30/07, valentina bonetti <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I am looking for a package to estimate regime switching models (states
> following a markov chain).
> I found packages for Hidden Markov Models but I am looking for something a
> little different: In the HMM the conditional distribution of the
> observations (give the state) is a known distribution (normal or others),
> while the package I need should allow to set a conditional distribution
> (given the state) which can be still modelled (for example with
> mean-reversion or jump diffusion...).
>
> I think the theory under this estimation technique is in "James D. Hamilton,
> A New Approach to the Economic Analysis of Nonstationary Time Series and the
> Business Cycle (1989)"

Not sure if this is the answer to your question, but check these
references to "markov" in the Task Views [1].

[1] 
http://www.google.com/search?client=opera&rls=en&q=markov+site:http://cran.r-project.org/src/contrib/Views/&sourceid=opera&ie=utf-8&oe=utf-8

Regards,
Liviu

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[R] markov regime switching models

2007-10-30 Thread valentina bonetti
Hi,

I am looking for a package to estimate regime switching models (states
following a markov chain).
I found packages for Hidden Markov Models but I am looking for something a
little different: In the HMM the conditional distribution of the
observations (give the state) is a known distribution (normal or others),
while the package I need should allow to set a conditional distribution
(given the state) which can be still modelled (for example with
mean-reversion or jump diffusion...).

I think the theory under this estimation technique is in "James D. Hamilton,
A New Approach to the Economic Analysis of Nonstationary Time Series and the
Business Cycle (1989)"

Thanks very much for any help!

Valentina Bonetti

Master student at Bocconi University, Milan

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