#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 weโ€™ve been hitting the limits of the range of models that mgcv can fit. So Iโ€™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