Author: Christian E. Galarza, Raymond Kan and Victor H. Lachos
Description: It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members.
Arellano-Valle, R. B. & Genton, M. G. (2005). On fundamental skew distributions. Journal of Multivariate Analysis, 96, 93-116.
Galarza C.E., Matos L.A., Dey D.K. & Lachos V.H. (2019) On Moments of Folded and Truncated Multivariate Extended Skew-Normal Distributions. Technical report. ID 19-14. University of Connecticut. <https://stat.uconn.edu/tech-reports-2019/>.
Imports: Rcpp (>= 0.12.14), mvtnorm, tlrmvnmvt, hypergeo, tmvtnorm

Imports: Rcpp (>= 1.0.1), mvtnorm (>= 1.0.11), tlrmvnmvt, hypergeo
LinkingTo: Rcpp (>= 1.0.1), RcppArmadillo, mvtnorm

Author: Christian E. Galarza [aut, cre, trl]
Victor H. Lachos [aut, ths] (<https://orcid.org/0000-0002-7239-2459>)

Author: Vincent Bonhomme, Sandrine Picq, Julien Claude
Description: Momocs is intended to ease and popularize shape analysis
of outlines (especially using elliptical Fourier analysis). It
mostly hinges on the functions developped in Morphometrics with
R (Claude, 2008). From outline extraction of images and
elliptical Fourier calculation to multivariate analysis and the
visualization of transformations within the morphological
space, Momocs provides a complete and convenient toolkit to
specialists within every field that are, or may be, interested
in morphological comparisons of outlines.
Packaged: 2012-05-02 05:48:46 UTC; vincent.bonhomme