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statsandr.com
| | zevross.com

We use the R library mgcv for modeling environmental data with generalized additive models (GAMs). It's a great library loaded with functionality but we often find that the default diagnostic ...
4.6 parsecs

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| | www.robertkubinec.com

Ordered beta regression can give you comparable, scale-free ATEs that can still be understood in the scale of the original data-all without using logs.
5.2 parsecs

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| | aosmith.rbind.io

Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
2.2 parsecs

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| | www.rdatagen.net

In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am going to focus on a situation where we have multiple outcomes, but with a slight twist - these groups of interest can be interpreted in an ordered way.
21.7 parsecs

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