Description: A collection of homogeneity tests described in: Viglione
A., Laio F., Claps P. (2007) ``A comparison of homogeneity
tests for regional frequency analysis'', Water Resources
Regional Frequency Analysis can be found in package nsRFA.

Packaged: Mon Mar 26 15:32:07 2007; alviglio

Title: Functions to Access Men's Basketball Play by Play Data
Description: A utility to quickly obtain clean and tidy men's
basketball play by play data. Provides functions to access
live play by play and box score data from ESPN<https://www.espn.com> with shot locations
when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper.
It is also a scraping and aggregating interface for Ken Pomeroy's
men's college basketball statistics website<https://kenpom.com>. It provides users with an
active subscription the capability to scrape the website tables and
Imports: cli (>= 1.1.0), data.table (>= 1.14.0), dplyr, furrr, future,
glue, janitor, jsonlite, magrittr, progressr (>= 0.6.0), Rcpp
Suggests: crayon (>= 1.3.4), curl, DBI, ggplot2, ggrepel, httr (>=
stats, stringi, testthat, tibble (>= 3.0), xml2 (>= 1.3)

Title: Access Men's Basketball Play by Play Data
glue, httr (>= 0.5), janitor, jsonlite, magrittr, progressr (>=
0.25.1), rmarkdown, RSQLite, stats, stringi, testthat, tibble

Package: hopach
Version: 1.0.1
Title: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
Author: Katherine S. Pollard <kpollard@soe.ucsc.edu>, with
Mark J. van der Laan <laan@stat.berkeley.edu>.
Maintainer: Katherine S. Pollard <kpollard@soe.ucsc.edu>
Depends: R (>= 1.8.0), cluster
Description: The HOPACH clustering algorithm builds a hierarchical tree
of clusters by recursively partitioning a data set, while ordering
and possibly collapsing clusters at each level. The algorithm uses
the Mean/Median Split Silhouette (MSS) criteria to identify the
level of the tree with maximally homogeneous clusters. It also runs
the tree down to produce a final ordered list of the elements. The
non-parametric bootstrap allows one to estimate the probability that
each element belongs to each cluster (fuzzy clustering).
License: GPL version 2 or newer
URL: http://www.r-project.org,
http://www.stat.berkeley.edu/~laan/,
http://lowelab.ucsc.edu/katie/
Packaged: Fri Dec 24 09:42:44 2004; kpollard