Prediction-Oriented and Cross-Products Methods for Handling Missing Values

Quick and easy way to improve predictive ability of an algorithm

Functions to compute and display regime boundaries in regression analysis.

Various tools for linear, nonlinear and nonparametric regression.

Textbook.

A statistical and graphical toolkit for analyzing data for possible patterns of discrimination (racial, gender, age, etc.)

Multiple confidence intervals, esp. for Monte Carlo.

Removing the effect of sensitive variables in prediction problems.

Data used in the book, "Powered by Linear Algebra: the central role of matrices and vector spaces in data science.

Quick into to the R package, tinyplot

Predictor variable selection via Particle Swarm Optimization.

Quick introduction to statistics for those with a probability background.

A textbook on the use of quantitative methods related to discrimination in race, gender and so on.

An opinionated view of the Tidyverse "dialect" of the R language.

Why This Time-Honored Statistical Procedure Makes No Sense

Fundamental problems with hypothesis testing, and solutions

Frequency-based parallel coordinates plots for categorical and discrete data.

Novel parallel coordinates plots. Revised version of CRAN package.

New take on pc method.

Quasi-IDE for R

Debugging tools for R.

Log linear model via the "Poisson Trick". Non-testing approach to model selection.

Fast Lane to Learning R!

Fast introduction to large-sample methods in statistics

Companion to "The Art of Machine Learning

Implementation of the Tower Method, a novel approach to handling missing values.