Description: The n-vector framework uses the normal vector to
the Earth ellipsoid (called n-vector) as a non-singular position
representation that turns out to be very convenient for practical
position calculations.  The n-vector is simple to use and gives exact
answers for all global positions, and all distances, for both
ellipsoidal and spherical Earth models.  This package is a translation
of the 'Matlab' library from FFI, the Norwegian Defence Research
Establishment, as described in Gade (2010)
Suggests: bookdown, covr, geosphere, knitr, png, rmarkdown, spelling,

Title: Combination of visualization functions for nuclear data using
Description: The nvis package facilitates the visualization of nuclear
data with customized functions using ggplot2.

Title: Multivariate Normal Variance Mixtures (Including Student's t
Distribution for Non-Integer Degrees of Freedom)
Description: Functions for working with multivariate normal variance mixture
distributions including evaluating their distribution functions, densities
person(given = "Erik", family = "Hintz", role = "aut",
person(given = "Christiane", family = "Lemieux", role = "aut",

random number generation and parameter estimation.
Suggests: knitr, RColorBrewer, lattice, qrmdata, QRM, xts

Title: Multivariate Normal Variance Mixtures
distributions (evaluation of distribution functions and densities,
random number generation and parameter estimation), including
Student's t distribution for non-integer degrees of freedom.

Description: Functions for working with grouped and ungrouped multivariate normal variance mixture
Student's t distribution for non-integer degrees-of-freedom as well as the grouped t distribution and copula with multiple degrees-of-freedom parameters.
Suggests: knitr, RColorBrewer, lattice, qrmdata, xts

Description: Functions for working with (grouped) multivariate normal variance mixture
Student's t distribution for non-integer degrees-of-freedom as well as the grouped t
distribution and copula with multiple degrees-of-freedom parameters.
See Hintz, Hofert, Lemieux (2019) <arXiv:1911.03017> for more details.
Imports: stats, methods, qrng, Matrix, copula, pcaPP
Suggests: RColorBrewer, lattice, qrmdata, xts, knitr, rmarkdown