Contains various functions for data analysis, notably helpers and diagnostics for Bayesian modelling using Stan.

The HURRECON model estimates wind speed, wind direction, enhanced 
    Fujita scale wind damage, and duration of EF0 to EF5 winds as a function 
    of hurricane location and maximum sustained wind speed. Results may be 
    generated for a single site or an entire region. Hurricane track and 
    intensity data may be imported directly from the US National Hurricane 
    Center's HURDAT2 database. For details on the original version of the 
    model written in Borland Pascal, see: Boose, Chamberlin, and Foster (2001) 
    <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2> and Boose, Serrano, 
    and Foster (2004) <doi:10.1890/02-4057>.

Allows users to create time series of tropical storm
    exposure histories for chosen counties for a number of hazard metrics
    (wind, rain, distance from the storm, etc.). This package interacts
    with data available through the 'hurricaneexposuredata' package, which
    is available in a 'drat' repository. To access this data package, see the 
    instructions at <https://github.com/geanders/hurricaneexposure>. 
    The size of the 'hurricaneexposuredata' package is
    approximately 20 MB. This work was supported in part by grants from the National
    Institute of Environmental Health Sciences (R00ES022631), the National Science
    Foundation (1331399), and a NASA Applied Sciences Program/Public Health Program
    Grant (NNX09AV81G).

Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere. The name is a portmanteau of 'utils' and the author.

Provides utility functions that are simply, frequently used, 
    but may require higher performance that what can be obtained from base R.
    Incidentally provides support for 'reverse geocoding', such as matching a point
    with its nearest neighbour in another array. Used as a complement to package
    'hutils' by sacrificing compilation or installation time for higher running 
    speeds. The name is a portmanteau of the author and 'Rcpp'.