A range of quadratic forms are evaluated, using efficient methods.
 Unnecessary transposes are not performed.  Complex values are handled
 consistently.

A set of functions of increasing complexity allows users to
  (1) convert QuadKey-identified datasets, 
  based on 'Microsoft's Bing Maps Tile System', into Simple Features data frames,
  (2) transform Simple Features data frames into rasters, and 
  (3) process multiple 'Meta' ('Facebook') QuadKey-identified human mobility files
  directly into raster files.
  For more details, see D’Andrea et al. (2024) <doi:10.21105/joss.06500>.

Given inputs A,B and C, this package solves the matrix equation A*X^2 - B*X - C = 0.

Create surface forms from matrix or 'raster' data for flexible plotting and
 conversion to other mesh types. The functions 'quadmesh' or 'triangmesh'
 produce a continuous surface as a 'mesh3d' object as used by the 'rgl'
 package. This is used for plotting raster data in 3D (optionally with
 texture), and allows the application of a map projection without data loss and 
 many processing applications that are restricted by inflexible regular grid rasters.
 There are discrete forms of these continuous surfaces available with
 'dquadmesh' and 'dtriangmesh' functions.

This package contains routines and documentation for
        solving quadratic programming problems.

Extends the quadprog package to solve quadratic programs with
  absolute value constraints and absolute values in the objective function.

Given a dataset, the user is invited to utilize the Empirical Cumulative Distribution Function (ECDF) 
              to guess interactively the mean and the mean deviation. Thereafter,
              using the quadratic curve the user can guess the Root Mean Squared Deviation (RMSD) 
              and visualize the standard deviation (SD). 
              For details, see Sarkar and Rashid (2019)<doi:10.3126/njs.v3i0.25574>, 
              Have You Seen the Standard Deviaton?, Nepalese Journal of Statistics, Vol. 3, 1-10.