Author: Wang Zhiyu, Asad Hasan <asad.hasan@sentrana.com>
Description: Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.

Author: Asad Hasan, Wang Zhiyu, Alireza S. Mahani

Title: A Generator of Multivariate Non-Normal Random Numbers
Description: A data generator of multivariate non-normal data in R. It combines two different methods to generate non-normal data, one with user-specified multivariate skewness and kurtosis (more details can be found in the paper: Qu, Liu, & Zhang, 2019 <doi:10.3758/s13428-019-01291-5>), and the other with the given marginal skewness and kurtosis. The latter one is the widely-used Vale and Maurelli's method. It also contains a function to calculate univariate and multivariate (Mardia's Test) skew and kurtosis.
Suggests: MASS, knitr, rmarkdown, semTools

Description: Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9> and E. Kossova, B. Potanin (2018) <https:ideas.repec.org/a/ris/apltrx/0346.html>.

Title: Multivariate Normal Distributions with Power Integrand
Description: Computes integral of f(x)*x_i^k on a product of intervals,
where f is the density of a gaussian law.
This a is small alteration of the mnormt code from A. Genz and A. Azzalini.

Package: mnormt
Version: 1.0-1
Date: 2006-04-26
Title: The multivariate normal and t distributions
Author: Fortran code by Alan Genz, R code by Adelchi Azzalini
Maintainer: Adelchi Azzalini <azzalini@stat.unipd.it>
Depends: R (>= 2.2.0)
Description: This package provides functions for computing the density and
the distribution function of, and for generating random vectors from the
multivariate normal and multivariate t distributions.  It provides functions
similar in scope to those of the package 'mvtnorm', but with some
differences; one of these is that probabilities are computed via a
non-Monte Carlo method.
License: GPL Version 2 for the R code; for the Fortran code by Alan Genz, see see http://www.wsu.edu/policies.html
URL: http://azzalini.stat.unipd.it/SN/Pkg-mnormt
Packaged: Wed Apr 26 09:38:29 2006; aa