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Dear List: Below is the validation output of a fitted ordinal logistic model using the bootstrap in the rms package. My interpretation is that most of the corrected indices indicate little overfitting, however the slope seems to indicate that the model is too optimistic. Given that most of the corrected indices seem reasonable, would it be appropriate to use this model on future data if the

Dear list, I'm currently trying to use the rms package to get predicted ordinal responses from a conditional ratio model. As you will see below, my model seems to fit well to the data, however, I'm having trouble getting predicted mean (or fitted) ordinal response values using the predict function. I have a feeling I'm missing something simple, however I haven't been able to

Hello, I've recently started using the rms package to fit some continuation ratio models using cr.setup. The package runs beautifully and I'm getting good fits with my data, however, I'm having trouble getting plots of the predicted mean values of y in relation to predictor variables with confidence intervals. Specifically, when I use a function such as L <- predict(ord.cr,