Hi there
Maybe you can find useful The isoreg {modreg} package which does Monotone
regression. This is probably what you need to model your data.
Nonetheless be aware you need to code properly your design matrix
(use orthogonal polynomial codes)
The difference in using MNP or ordered probit is t
Why don't use R-Winedt package?
If you have Winedt installed on your machine, it does something similar to
what you want.
Just highlight the command you want to execute from a text command file and
then press the R-paste button.
Good luck!
M.
**
Massim
Dear All
I am trying to estimate a mixture of regression and get the
following error using the mixreg package:
Error in y - yhat : non-conformable arrays
The instruction I used were:
x <- as.matrix(LRHUN)
y <- as.matrix(LRINTER)
TS <- list(list(beta=c(3.0,1.0),sigsq=1,lambda=0.4),
l
take a look at:
flexmix
mixreg
mclust
packages on CRAN
You may also define your own M-step in some of these packages...
EM is used to find the parameters of the mixture.
Ciao
M.
**
Massimiliano Marinucci
http://personales.ya.com/max_mar/
Ph.D Candida
I would also mention the "mixreg" package on CRAN.
Regards
m.
**
Massimiliano Marinucci
http://personales.ya.com/max_mar/
Ph.D Candidate in Economics
Fundamentos del Analisis Económico II
(EconomÃa Cuantitativa)
Facultad de CC.EE.
Universidad Complutense
Dear Rolf
this is a good new! Thanks for your effort for making the mixreg package
available on CRAN.
Cheers
Max
- Original Message -
From: "Rolf Turner" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>
Sent: Monday, September 13, 2004 4:03 PM
Subjec
Dear Dan
as far I know you can estimate mixture regression models with the flexmix
package . If you need just clustering using mixtures framework you can use
the "mclust" package as well.
Hope this helps
Regards
Massimiliano Marinucci
PhD Candidate in Quantitative Economics
Universidad Complutense
