The Rcpp package for R provides “seamless R and C++ integration”. In this workshop, we will discuss the use of Rcpp to speed up existing R code by rewriting slow functions…

Mediation models are commonly applied in a variety of modeling settings, and people will typically flock to tools specific to structural equation modeling like Mplus or Amos for analysis. However,…

Asynchronous computing is an umbrella term encompassing parallel and concurrent computational programs in which some tasks can be executed without a strict sequential order. A future is a programming abstraction for a value…

Matt Dowle, author of the data.table package, describes it as, “provid[ing] a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop…

Mediation models are commonly applied in a variety of modeling settings, and people will typically flock to tools specific to structural equation modeling like Mplus or Amos for analysis. However,…

This is a two day workshop (March 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

This is a two day workshop (March 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

This is a two day workshop (February 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

This is a two day workshop (February 4 and 5) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…

An introduction to matching, such as propensity score matching, using R‘s “optmatch” package. Matching is used to improve balance between groups, typically in observational studies, by creating quasi-experimental strata of similar individuals. We…