Re: [R] Ordinal logistic regression p-values

There is also clm() (for cumulative link models) from package ordinal that has much the same interface that polr() has, but it does give you p-values for the regression parameters. A simple example from examples(clm): library(ordinal) data(wine) fm1 <- clm(rating ~ contact + temp, data=wine) (summ

Re: [R] Ordinal logistic regression p-values

Use the rms package to replace Design. Run anova(fit object from lrm) which produces a matrix from which you can extract P-values. This also handles the case of multiple degrees of freedom per predictor. Frank Debs Majumdar wrote: > > Hi, > >    Are there any packages which prints out p-values

[R] Ordinal logistic regression p-values

Hi,    Are there any packages which prints out p-values for OLR's (like `ologit' from Stata)? I want to run a bunch of OLRs and print the p-value for the first coefficient from each of them.   I checked polr() under MASS and it doesn't.  There's a lrm() function under Design which does print