Potpourri: Statistics #99

1940. Data Vis Dispatch: August 1, August 8, August 15, August 22, August 291941. Explainable AI: Visualizing Attention in Transformers1942. Linear Programming in Python1943. It Takes Long to Become Gaussian1944. Cookbook Polars for R1945. Package development lifecycle process: What does superseded mean? / What does deprecated mean?1946. Difference-in-differences, Average Treatment Effects and the Importance of Mechanisms: Part 1, Part 21947. How I Set Up RStudio for Efficient Coding1948. Catching up on the weird world of LLMs1949. Introduction to Educational and Psychological Measurement Using R1950. Reducing clutter with an options object1951. Introducing Shannon Regression: An Information Theoretic Alternative to Logistic and Probit Regression for Binary Outcomes1952. It’s the interactions1953. Using flexdashboard to create a GitHub Actions-powered YouTube feed1954. R Functions for Getting Objects1955. Building Serverless Shiny Apps with webR: A Step-by-Step Guide1956. Boost Model Performance with Hyperparameter Tuning in R | Tidymodels1957. Neyman causal model or Rubin causal model?1958. Teaching the tidyverse in 20231959. How to improve the substantive interpretation of regression results when the dependent variable is logged1960. Dot-dot-dot, bang-bang-bang, and do.call()1961. The ultimate practical guide to multilevel multinomial conjoint analysis with R1962. Mixed Models with R1963. How to Create Your Own Table Theme with the gt Package1964. How to use UNHCR’s refugees R package1965. Manually generate predicted values for logistic regression with matrix multiplication in R1966. Top 10 errors in R and how to fix them1967. Ordinal Models for Paired Data1968. Equivalence Tests Using {marginaleffects}1969. Announcing Python in Excel: Combining the power of Python and the flexibility of Excel1970. A collection of stand-alone Python machine learning recipes1971. How to use LLMs for Text Analysis1972. Wizard's Guide to Statistics1973. Exploring Causal Discovery with gCastle through Reticulate in R1974. Recreate a real-world, complex dataviz with R & ggplot1975. How to design a useful (and fun!) color key for your data visualization1976. Yet Again: R + Data Science1977. Is probability frequentist or Bayesian?

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