Hi there,
i tried to run an ordered logistic regression with polr. so far it
worked after i turned my data into factors.
but here´s my problem:
my output is like this:
Call:
polr(formula = factor(fulltest[, 1]) ~ factor(fulltest[, 2]) +
factor(fulltest[, 10]), method = "logistic")
Coeffi
cc
at.math.ethz.ch
Subject
[R] ordered logistic regression
05/07/2007 07:03
On the definitional question, some texts do indeed consider multi-category
logistic regression as a glm. But the original definition by Nelder does
not. I've never seen polr considered to be a glm (but it way well have
been done).
Adding random effects is a whole different ball game: you need
Paul--
I think the options are pretty limited for mixed-effects ordinal regression; it
might be worth taking a look at Laura Thompson's R/Splus companion to Alan
Agresti's text on categorical data analysis:
https://home.comcast.net/~lthompson221/Splusdiscrete2.pdf
She discusses some options f
I'd like to estimate an ordinal logistic regression with a random
effect for a grouping variable. I do not find a pre-packaged
algorithm for this. I've found methods glmmML (package: glmmML) and
lmer (package: lme4) both work fine with dichotomous dependent
variables. I'd like a model similar to
Hi,
How can I do ordered logistic regression in svyglm?
Thanks,
D.
--
Debarchana Ghosh
Research Assistant
Department of Geography
University of Minnesota
PH: 8143607580
email to: [EMAIL PROTECTED]
www.tc.umn.edu/~ghos0033
__
R-help@stat.math.ethz.ch
Emilie Berthiaume wrote:
> I tried the following ordered logistic regression in R:
>
> mod1 <- polr(altitude~sp + wind_dir + wind_speed + hr, data=altioot)
You might also try
library(Design) # also requires Hmisc package
mod1 <- lrm()
mod1
summary(mod1)
anova(mod1)
Frank Harrell
>
> But wh
I tried the following ordered logistic regression in R:
mod1 <- polr(altitude~sp + wind_dir + wind_speed + hr, data=altioot)
But when I asked The summary of my regression I got the folloing error message:
> summary (mod1)
Re-fitting to get Hessian
Error in optim(start, fmin, gmin, method = "B
