Re: [R] net classification improvement?

ow well. Thanks jonah On 1/17/12 11:49 AM, "Kevin E. Thorpe" wrote: >On 01/17/2012 07:16 AM, Essers, Jonah wrote: >> Thanks for the reply. I think more the issue is whether it can be >>applied >> to cross-sectional data. This I'm not sure. This method is hea

Re: [R] net classification improvement?

Thorpe" wrote: >On 01/16/2012 08:10 PM, Essers, Jonah wrote: >> Greetings, >> >> I have generated several ROC curves and would like to compare the AUCs. >> The data are cross sectional and the outcomes are binary. I am testing >> which of several model

[R] net classification improvement?

Greetings, I have generated several ROC curves and would like to compare the AUCs. The data are cross sectional and the outcomes are binary. I am testing which of several models provide the best discrimination. Would it be most appropriate to report AUC with 95% CI's? I have been looking in to th

Re: [R] constraining betas with mlogit package

son 2 2 1.22 -.8.003 etc. person 3 1 0.2 .0003 .34 etc. From: Bert Gunter [gunter.ber...@gene.com] Sent: Monday, August 15, 2011 7:20 PM To: Rolf Turner Cc: Essers, Jonah; r-help@R-project.org Su

[R] constraining betas with mlogit package

I have been using the mlogit package but can't seem to figure out how to make constraints on the beta coefficients. For example, I would like to force that two of my beta's are equal to each other. Thanks in advance. Jonah __ R-help@r-project.org mai

[R] forward stepwise regression using Mallows Cp

So I recognize that: 1. many people hate forward stepwise regression (i've read the archives)--but I need it 2. step() or stepAIC are two ways to get a stepwise regression in R But here's the thing: I can't seem to figure out how to specify that I want the criteria to be Mallow's Cp (and th