Contains data for software hotspot analysis, along with a function performing the analysis itself.

The hotspots package is designed to look within a set of measured values of a variable and identify values that are disproportionately high based on both the deviance of any given value from a statistical distribution and its similarity to other values. Because this relative magnitude of each value is taken into account, a value that is a statistical outlier may not always be a hot spot if other values are similarly large.

Monthly median home listing, sale price per square foot, and number of units sold for 2984 counties in the contiguous United States From 2008 to January 2016.  Additional data sets containing geographical information and links to Wikipedia are also included.

A wrapper around a CSS library called 'Hover.css', intended for use 
  in 'shiny' applications.

Audio interactivity within 'shiny' applications using 'howler.js'. Enables the
    status of the audio player to be sent from the UI to the server, and events such as
    playing and pausing the audio can be triggered from the server.

When performing multiple imputations, while 5-10 imputations are
             sufficient for obtaining point estimates, a larger number of
             imputations are needed for proper standard error estimates.
             This package allows you to calculate how many imputations are
             needed, following the work of von Hippel (2020)
             <doi:10.1177/0049124117747303>.

Helping to calculate cricket specific problems in a tidy & simple manner.

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

By binding R functions and the 'Highcharts' <http://www.highcharts.com/> charting library, 'hpackedbubble' package provides a simple way to draw split packed bubble charts.