`R`

Most of my research-related software development has been in the R statistical programming language. I am a core developer in the Statnet Project.

Since 2017, development of packages has been moved to GitHub.

`ergm`

I help develop and maintain `ergm`

, an R package for inference and
diagnostics on network data using exponential-family random graph models (ERGMs).

`tergm`

In 2012, we released a set of extensions (primarily) I developed for using ERGMs for modeling and simulation of dynamic networks.

`ergm.count`

and `ergm.rank`

I have extended `ergm`

to handle valued ties, and this package
contains components to fit exponential family models for networks
whose dyad values are counts (e.g., of interaction) or ranks (e.g.,
best friend, second best frend, etc.).

`latentnet`

In 2005, I took over and rewrote the R package `latentnet`

for
Bayesian fitting of latent space and latent cluster models to social
networks, and have been maintaining and developing it since.

`ergm.ego`

A wrapper around `ergm`

implementing inference for ERGMs from
egocentrically sampled data..

`networkDynamic`

I also contribute to `networkDynamic`

, a package for storing and
processing dynamic network data.

`statnet.common`

A package with non-statistical utilities used by other Statnet Project packages. The utilities may be of use to others as well.

`Java`

## Yet Another Bayes’s Rule Applet (YABRA)

As I was preparing to teach a class in May 2012, I searched the Web for Java applets that could illustrate the Bayes’s Rule in an intuitive and genuinely interactive manner. Dissatisfied with what was available, I wrote my own.

With
Yet Another Bayes’s Rule Applet (YABRA),
move the sliders to set the prior probability Pr(*A*) and the
conditional probabilities Pr(*B*|*A*) and Pr(*B*|¬*A*), and watch the
sliders corresponding to the posterior probabilities Pr(*A*|*B*) and
Pr(*A*|¬*B*) move in response. It can also optionally draw the
corresponding tree diagram. With proper conditional probability
settings, it can also be used to illustrate independence, mutual
exclusivity, and complementarity of two events.

If you use it in your teaching or other work, please credit me. If you have any comments, suggestions, criticism, and/or compliments, drop me an e-mail.