The official maintainers were dismissive when I suggested there were some
problems I could fix with the then implementation of polr. I haven't looked
at it since, sorry.
On Tue, Aug 12, 2014 at 7:44 PM, Guido Biele [via R] <
ml-node+s789695n4695392...@n4.nabble.com> wrote:
> I modified (where ne
This could well be out of date because I have not paid any attention to the
official POLR code in a year or more. Attached is fixed-polr.R.
cheers,
Tim
On Wed, Oct 24, 2012 at 10:38 PM, ahs [via R] <
ml-node+s789695n4647311...@n4.nabble.com> wrote:
> Great!
> You can skip my question about s0 th
;t seem to get the change of code right. I redefine the function polr by
> the lines
>
> tjb wrote
> if(missing(start)) {
> # try something that should always work -tjb
> u <- as.integer(table(y))
> u <- (cumsum(u)/sum(u))[1:q]
> zetas &
blackscorpio wrote:
>
> Thank you for your answer. I have already tried lrm and it's true that it
> works better than polr in such a case. Nevertheless lrm does not work with
> the addterm and dropterm functions (to my knowledge) and I need to use
> them. Maybe do you know alternate functions th
Note that that the enhancements in my original post solve the unresolved
problem of Chaehyung Ahn (22 Mar 2005) whose data I reproduce:
y,x,lx
0,3.2e-02,-1.49485
0,3.2e-02,-1.49485
0,1.0e-01,-1.0
0,1.0e-01,-1.0
0,3.2e-01,-0.49485
0,3.2e-01,-0.49485
1,1.0e+00,0.0
0,1.0e+00,0.0
1,3.
hat should always work -tjb
u <- as.integer(table(y))
u <- (cumsum(u)/sum(u))[1:q]
zetas <-
switch(method,
"logistic"= qlogis(u),
"probit"= qnorm(u),
"cauchit"= qcauchy(u),
blackscorpio wrote:
>
> Dear community,
>
> I am currently trying to fit an ordinal logistic regression model with the
> polr function. I often get the same error message :
>
> "attempt to find suitable starting values failed", for example with :
> ...
> Does anyone have a clue ?
>
Yes. The
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