Thomas Lumley (Jie Fu Yu made a prototype)
Display hexagonally binned scatterplots for multi-class data, using coloured triangles to show class proportions.

A data only package containing commercial domestic flights that
departed Houston (IAH and HOU) in 2011.

Estimate Hierarchical Feature Regression Models
Provides functions for the estimation, plotting, predicting and cross-validation of hierarchical feature regression models as described in Pfitzinger (2021) <arXiv:2107.04831>.
RcppArmadillo, quadprog, stats, dendextend, RColorBrewer

RcppArmadillo, quadprog, stats, dendextend, RColorBrewer,
corpcor

The students of the `Advanced R Programming Course' Hannah
Frick, Ivan Kondofersky, Oliver S. Kuehnle, Christian
Lindenlaub, Georg Pfundstein, Matthias Speidel, Martin
Spindler, Ariane Straub, Florian Wickler, Katharina Zink under
the supervision of Manuel Eugster and Torsten Hothorn
High-dimensional additive models as introduced by Meier,
van der Geer and Buehlmann (2009).

Implements the hub graphical lasso and hub covariance graph proposal by Tan et al. (2014).

Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs.  arXiv.org/pdf/1402.7349.pdf.

Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs. To appear in Journal of Machine Learning Research. arXiv.org/pdf/1402.7349.pdf.

Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs. Journal of Machine Learning Research 15(Oct):3297-3331.

hglm is used to fit hierarchical generalized linear models.
The hglm package is used to fit hierarchical generalized
linear models. It can be used for linear mixed models and
generalized linear mixed models with random effects for a
variety of links and a variety of distributions for both the
outcomes and the random effects. Fixed effects can also be
fitted in the dispersion part of the mean model.