Functions to export graphics drawn with package grid to SVG
  format.  Additional functions provide access to SVG features that
  are not available in standard R graphics, such as hyperlinks, 
  animation, filters, masks, clipping paths, and gradient and pattern fills.

Provides support for rendering of formatted text using 'grid' graphics. Text can be
    formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be
    rendered both with and without word wrap.

Provides the following types of models: Models for contingency
    tables (i.e. log-linear models) Graphical Gaussian models for multivariate
    normal data (i.e. covariance selection models) Mixed interaction models.
    Documentation about 'gRim' is provided by vignettes included in this
    package and the book by Højsgaard, Edwards and Lauritzen (2012,
    <doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.

Functions for converting, importing, and drawing PostScript 
              pictures in R plots.

Functions for importing external vector images and
  drawing them as part of 'R' plots.  This package is different from the
  'grImport' package because, where that package imports 'PostScript'
  format images, this package imports 'SVG' format images.  Furthermore,
  this package imports a specific subset of 'SVG', so external images
  must be preprocessed using a package like 'rsvg' to produce 'SVG'
  that this package can import.  'SVG' features that are not supported
  by 'R' graphics, e.g., gradient fills, can be imported and then
  exported via the 'gridSVG' package.

Calculates optical parameters of crystals like the optical
    axes, the axis angle 2V, and the direction of the principal axes of
    the indicatrix from extinction angles measured on a spindle stage 
    mounted on a polarisation microscope stage. Details of the method can be found in Dufey (2017) <arXiv:1703.00070>.

Set of functions designed to solve inverse problems. The direct problem is used to calculate a cost function to be minimized.
  Here are listed some papers using Inverse Problems solvers and sensitivity analysis:
  (Jader Lugon Jr.; Antonio J. Silva Neto 2011) <doi:10.1590/S1678-58782011000400003>.
  (Jader Lugon Jr.; Antonio J. Silva Neto; Pedro P.G.W. Rodrigues 2008) <doi:10.1080/17415970802082864>.
  (Jader Lugon Jr.; Antonio J. Silva Neto; Cesar C. Santana 2008) <doi:10.1080/17415970802082922>.