Andrew Heiss's blog andrewheiss.com

Guide to understanding the intuition behind the Dirichlet distribution

andrewheiss.com·136w

Manually generate predicted values for logistic regression with matrix multiplication in R

andrewheiss.com·141w

The ultimate practical guide to multilevel multinomial conjoint analysis with R

andrewheiss.com·141w

How to fill maps with density gradients with R, {ggplot2}, and {sf}

andrewheiss.com·144w

The ultimate practical guide to conjoint analysis with R

andrewheiss.com·144w

Road trip analysis! How to use and play with Google Location History in R

andrewheiss.com·147w

How to make fancy road trip maps with R and OpenStreetMap

andrewheiss.com·152w

A guide to Bayesian proportion tests with R and {brms}

andrewheiss.com·154w

Making Middle Earth maps with R

andrewheiss.com·157w

How old was Aragorn in regular human years?

andrewheiss.com·162w

One Simple Trick™ to create inline bibliography entries with Markdown and pandoc

andrewheiss.com·172w

How to migrate from BibDesk to Zotero for pandoc-based writing

andrewheiss.com·172w

How to use natural and base 10 log scales in ggplot2

andrewheiss.com·177w

Marginal and conditional effects for GLMMs with {marginaleffects}

andrewheiss.com·178w

Visualizing the differences between Bayesian posterior predictions, linear predictions, and the expectation of posterior predictions

andrewheiss.com·187w

Quick and easy ways to deal with long labels in ggplot2

andrewheiss.com·201w

Marginalia: A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and all these other marginal things are

andrewheiss.com·206w

A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models

andrewheiss.com·207w

How to create a(n almost) fully Bayesian outcome model with inverse probability weights

andrewheiss.com·227w

How to use Bayesian propensity scores and inverse probability weights

andrewheiss.com·227w

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