#statstab #340 How to interpret and report nonlinear effects from Generalized Additive Models

Thoughts: Maybe you heard about GAMs and spline, but not sure how to use them. Here's a #R tutorial.

#GAM #spline #nonlinear #tutorial #guide #marginaleffects

https://ecogambler.netlify.app/blog/interpreting-gams/

#statstab #223 Conformal predictions w/ {marginaleffects}

Thoughts: Sometimes you need a range of likely future values. To get an assumption-free Prediction Interval, use conformal methods.

#r #stats #marginaleffects #prediction #conformalprediction

https://marginaleffects.com/bonus/conformal.html

#statstab #213 Marginal means and Average predictions

Thoughts: Do you prefer Estimated Marginal Means or Average Predictions? Care to report an Average Counterfactual Adjusted Prediction or an AME? Here are some options:

#r #emmeans #marginaleffects

https://marginaleffects.com/bonus/alternative_software.html

📚🚨 I posted 11 new chapters of my upcoming book!

Model to Meaning: How to Interpret Statistical Results with #marginaleffects for #RStats and Python.

These are early drafts and I really need your feedback! Errors, content requests, improvements, etc.

https://marginaleffects.com

#statstab #205 Equivalence Tests Using {marginaleffects}

Thoughts: Easily testing for "no effect" is important. Here's a tutorial by @carlislerainey using @VincentAB r pkg.

#equivalencetests #equivalence #TOST #marginaleffects #tutorial #nullresults #r

https://www.carlislerainey.com/blog/2023-08-18-equivalence-tests/

#statstab #202 Distribution regression in #R @vincentab

Thoughts: "distribution regression...allows us to measure the association b/w the predictor of interest and the outcome at different quantiles of the outcome"

#regression #marginaleffects #quantile

https://arelbundock.com/posts/distribution_regression/