Chordalysis R Package (ChoR)
Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://…/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://…/Monash-ChoR>.

Bayesian Spectral Analysis Techniques (BayesSpec)
An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper ‘AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series’ <DOI:10.1080/01621459.2012.716340>.

Indirect Cross-Validation (ICV) for Kernel Density Estimation (ICV)
Functions for computing the global and local Gaussian density estimates based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423 <doi:10.1198/jasa.2010.tm08532>.

Analyzing and Presenting Social Scientific Data (jtools)
This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions in linear models. Just about everything supports models from the survey package.

Select point patterns models based on minimum contrast and AIC (selectspm)
Package to fit and select point patterns models based on minimum contrast and AIC