XML2R (>= 0.0.6), plyr, MASS, hexbin, rgl, mgcv, lubridate

XML2R (>= 0.0.6), plyr, MASS, hexbin, mgcv, lubridate
DBI, dplyr, RSQLite, RSQLite.extfuns, parallel, knitr,
animation, shiny, testthat, ggsubplot, rgl

XML2R (>= 0.0.6), plyr, MASS, hexbin, mgcv

DBI, dplyr, RSQLite (>= 1.0.0), parallel, knitr, animation,
shiny, testthat, ggsubplot, rgl

Tools for Harnessing MLBAM Gameday Data and Visualizing PITCHf/x

Tools for Harnessing 'MLBAM' 'Gameday' Data and Visualizing
'pitchfx'
With 'pitchRx', one can easily obtain Major League Baseball Advanced
Media's 'Gameday' data (as well as store it in a remote database). The
'Gameday' website hosts a wealth of data in XML format, but perhaps most
interesting is 'pitchfx'. Among other things, 'pitchfx' data can be used to
recreate a baseball's flight path from a pitcher's hand to home plate. With
pitchRx, one can easily create animations and interactive 3D 'scatterplots'
of the baseball's flight path. 'pitchfx' data is also commonly used to
generate a static plot of baseball locations at the moment they cross home
plate. These plots, sometimes called strike-zone plots, can also refer to a
plot of event probabilities over the same region. 'pitchRx' provides an easy
and robust way to generate strike-zone plots using the 'ggplot2' package.

Oliver Keyes [aut, cre], Colin Hirsch [cph], Daniel Frey [cph]
A wrapper around the 'Parsing Expression Grammar Template Library', a C++11 library for generating
Parsing Expression Grammars, that makes it accessible within Rcpp. With this, developers can implement
their own grammars and easily expose them in R packages.

Os Keyes [aut, cre], Duncan Garmonsway [ctb], Colin Hirsch [cph], Daniel Frey [cph]

Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Leonardo Egidi[aut, cre],
Roberta Pappadà[aut],
Francesco Pauli[aut],
Nicola Torelli[aut]
Collection of pivotal algorithms
for: relabelling the MCMC chains in order to undo the label
switching problem in Bayesian mixture models;
initializing the centers of the classical k-means algorithm
in order to obtain a better clustering solution.
bayesmix, rjags, runjags, mvtnorm, RcmdrMisc