#statstab #465 Linear Regression vs. Logistic Regression

Thoughts: Not a very good article but the illustration is nice. Shows why drawing a straight line of best fit is an issue.

#logisticregression #linearmodel #regression #MachineLearning
#dataviz

https://pub.towardsai.net/machine-learning-fcf74f121167

#statstab #450 Fitting GAMs with brms

Thoughts: Assuming linearity of your continuous predictors is not needed when you can add wiggles!

#gam #glmm #linearmodel #modelling #brms #rstats #bayes #tutorial #splines #r

https://fromthebottomoftheheap.net/2018/04/21/fitting-gams-with-brms/

Fitting GAMs with brms: part 1

Regular readers will know that I have a somewhat unhealthy relationship with GAMs and the mgcv package. I use these models all the time in my research but recently we’ve been hitting the limits of the range of models that mgcv can fit. So I’ve been looking into alternative ways...

From the Bottom of the Heap

#statstab #428 Knowing ANOVA

Thoughts: "Is ANOVA just a special case of regression? Maybe". We sometimes forget the benefits of specific cases of a linear model.

#ANOVA #FISHER #linearmodel #history #error #iid

https://www.linkedin.com/pulse/knowing-anova-stephen-senn-6zuje

Knowing ANOVA

Lost in space WARNING. I know nothing about agriculture and even less about spatial statistics.

I've got the goldfinches helping me plot a simple linear model. #BirdsOfMastodon #SunflowerSeeds #AmericanGoldfinch #LinearModel #DataViz