Maximum Diversity Weighting (mdw)
Dimension-reduction methods aim at defining a score that maximizes signal diversity. Two approaches, namely maximum entropy weights and maximum variance weights, are provided.

Causal Learning of Mixed Graphical Models (causalMGM)
Allows users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables). To learn a directed graph over mixed data, it first calculates the undirected graph (Sedgewick et al, 2016) and then it uses local search strategies to prune-and-orient this graph (Sedgewick et al, 2017). AJ Sedgewick, I Shi, RM Donovan, PV Benos (2016) <doi:10.1186/s12859-016-1039-0>. AJ Sedgewick, JD Ramsey, P Spirtes, C Glymour, PV Benos (2017) <arXiv:1704.02621>.

Rendering Word Documents with R Inline Code (WordR)
Serves for rendering MS Word documents with R inline code and inserting tables and plots.

Semiparametric Regression on Cumulative Incidence Function with Interval-Censored Competing Risks Data (intccr)
The function ciregic() fits semiparametric competing risks regression models with interval-censored data as described in Bakoyannis, Yu, and Yiannoutsos (2017) <doi:10.1002/sim.7350>.