Easily export 'R' graphs and statistical output to 'Microsoft
    Office' / 'LibreOffice', 'Latex' and 'HTML' Documents, using sensible defaults
    that result in publication-quality output with simple, straightforward commands.
    Output to 'Microsoft Office' is in editable 'DrawingML' vector format for
    graphs, and can use corporate template documents for styling. This enables
    the production of standardized reports and also allows for manual tidy-up
    of the layout of 'R' graphs in 'Powerpoint' before final publication. Export
    of graphs is flexible, and functions enable the currently showing R graph
    or the currently showing 'R' stats object to be exported, but also allow the
    graphical or tabular output to be passed as objects. The package relies on package
    'officer' for export to 'Office' documents,and output files are also fully compatible
    with 'LibreOffice'. Base 'R', 'ggplot2' and 'lattice' plots are supported, as
    well as a wide variety of 'R' stats objects, via wrappers to xtable(), broom::tidy() 
    and stargazer(), including aov(), lm(), glm(), lme(), glmnet() and coxph() as
    well as matrices and data frames and many more...

A variety of descriptive multivariate analyses with the singular value decomposition,
    such as principal components analysis, correspondence analysis, and multidimensional scaling.
    See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

The EXPOS model uses a digital elevation model (DEM) to estimate
    exposed and protected areas for a given hurricane wind direction and
    inflection angle. The resulting topographic exposure maps can be combined
    with output from the HURRECON model to estimate hurricane wind damage
    across a region. For details on the original version of the EXPOS model
    written in 'Borland Pascal', see: Boose, Foster, and Fluet (1994)
    <doi:10.2307/2937142>, 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>.