Samples generalized random product graphs, a generalization of
    a broad class of network models. Given matrices X, S, and Y with with
    non-negative entries, samples a matrix with expectation X S Y^T and
    independent Poisson or Bernoulli entries using the fastRG algorithm of
    Rohe et al. (2017) <https://www.jmlr.org/papers/v19/17-128.html>. The
    algorithm first samples the number of edges and then puts them down
    one-by-one.  As a result it is O(m) where m is the number of edges, a
    dramatic improvement over element-wise algorithms that which require
    O(n^2) operations to sample a random graph, where n is the number of
    nodes.

A utility to scrape and load play-by-play data
    and statistics from the Premier Hockey Federation (PHF) <https://www.premierhockeyfederation.com/>, formerly
    known as the National Women's Hockey League (NWHL). Additionally, allows access to the National Hockey League's
    stats API <https://www.nhl.com/>.

A data package that hosts all models for the
    'nflfastR' package.

Infrastrcture for creating rich, dynamic web content using R scripts while maintaining very fast response time.

An implementation of the fast structural filtering with L0 penalty. It includes an adaptive polynomial estimator by minimizing the least squares error with constraints on the number of breaks in their (k + 1)-st discrete derivative, for a chosen integer k >= 0. It also includes generalized structure sparsity constraint, i.e., graph trend filtering. This package is implemented via the primal dual active set algorithm, which formulates estimates and residuals as primal and dual variables, and utilizes efficient active set selection strategies based on the properties of the primal and dual variables.

Computes fast (relative to other implementations) approximate 
    Shapley values for any supervised learning model. Shapley values help to 
    explain the predictions from any black box model using ideas from game 
    theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> 
    for details.