Nested versus non-nested can mean a whole lot of things. You have nested designs versus crossed designs (see eg this explanation). You have nested models in model comparison. …

Oct 23, 2015 · Using the unbiased nested CV involves fitting models with smaller data. For 10-fold CV, it's like 81% in nested CV vs. 90% in non-nested CV. Also test fold becomes 9% vs 10% …

Here is how I have understood nested vs. crossed random effects: Nested random effects occur when a lower level factor appears only within a particular level of an upper level factor. For …

By "Nested cross-validation" I think he meant combining it with GridSearch. Usually GridSearch has CV built in and takes a parameter on how many folds we wish to test. Combining those …

As discussed in the comments, here is my Stan model for an Ordered Logistic Regression. It takes long format data (one observation per row) and estimates the following parameters: …

Oct 16, 2019 · The problem is, I am not sure how nested random variables should be structured So ultimately I would like to know what the mgcv code equivalent for a GAM model would be …

Oct 17, 2018 · Modelling with nested variables: This requirement is achieved by creating an indicator variable that determines when your nested variable is meaningful, and putting the …

I have seen nested cross validation (whether repeated or stratified) has been used in the setting of small dataset, i.e., to generate generalized model performance while optimizing parameters …

Jul 29, 2020 · $\begingroup$ I agree regarding tube, but I still don't see angle as nested. To me it seems similar to a treatment variable where different subjects get one of several treatments. …

I am attempting to fit a mixed effects model using R and lme4, but am new to mixed models. I'd like to model the response as the Treatment + Level 1 Factor (stem, root) + Level 2 Factor …