Multiregression Dynamic Models (multdyn)
The Multiregression Dynamic Models (MDM) are a multivariate graphical model for a multidimensional time series that allows the estimation of time-varying effective connectivity.

Factorial Experiments with Minimum Level Changes (FMC)
Generate cost effective minimally changed run sequences for symmetrical as well as asymmetrical factorial designs.

Sequential Co-Sparse Factor Regression (secure)
Fitting sparse factor regression using sequential estimation.

R Package for Pairwise Preference Elicitation (prefeR)
Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.