I am an advocate for R and LaTeX. Both are free and are supported by a friendly community of active users. I encourage any first-time users or those considering becoming users to search for basic packages and tutorials online. I teach R to undergraduates and both programs to graduate students.

I am competent with Stata, RATS, Excel, SAS, SPSS, CSS, and HTML. I have also used a variety of text analysis and webscraping tools using Python, Scrapy, and selenium.

I currently have two ongoing computing projects. Andrew Q. Philips and I maintain programs in R and Stata to estimate the ARDL-bounds procedure for cointegration and provide dynamically simulated inferences in ARDL models. Both live under the umbrella of `dynamac`

. Instructions for downloading and using either version can be found on Github. Additionally, the R source files, binaries, vignettes, and manuals are available on CRAN. I'm the maintainer of the R version: you can contact me directly with suggestions or bugs. We have a broader interest in quantities of interest derived from stochastic simulations generally, and we are exploring that interest in an ongoing set of projects.

I am also working on a R package for evaluating the extent of quasi-separation in binary data with Clayton McLaughlin Webb.

Resources for the PhD Program Bootcamp: