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: