Iuri Gavronski wrote:
Frank,
I certainly can't speak for Emmanuel. I don't know his reasons.
The reason I've posted this question is the fact that (as far as I
understood), ordinal regression is based on logistic regression (or
probit), and logistic regression expects a formula like dichotomous
Frank,
I certainly can't speak for Emmanuel. I don't know his reasons.
The reason I've posted this question is the fact that (as far as I
understood), ordinal regression is based on logistic regression (or
probit), and logistic regression expects a formula like dichotomous ~
ratio1 + ratio2 + ...
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 19:05 -0600, Frank E Harrell Jr a écrit :
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
Hi,
I would like to fit Logit models for ordered data, such as those
suggested by Greene (2003)
Le dimanche 08 novembre 2009 à 19:05 -0600, Frank E Harrell Jr a écrit :
> Emmanuel Charpentier wrote:
> > Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
> >> Hi,
> >>
> >> I would like to fit Logit models for ordered data, such as those
> >> suggested by Greene (2003), p. 736
Emmanuel Charpentier wrote:
Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
Hi,
I would like to fit Logit models for ordered data, such as those
suggested by Greene (2003), p. 736.
Does anyone suggests any package in R for that?
look up the polr function in package MASS
Le dimanche 08 novembre 2009 à 17:07 -0200, Iuri Gavronski a écrit :
> Hi,
>
> I would like to fit Logit models for ordered data, such as those
> suggested by Greene (2003), p. 736.
>
> Does anyone suggests any package in R for that?
look up the polr function in package MASS (and read the releva
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