Author: Claudio Agostinelli <claudio@unive.it> and Mario Romanazzi
Description: Simplicial, Mahalanobis and Ellipsoid Local and Global

Author: Claudio Agostinelli <claudio@unive.it>, Mario Romanazzi <romanaz@unive.it> and SLATEC Common Mathematical Library <www.netlib.org/slatec>
Description: Simplicial, Mahalanobis and Ellipsoid Local and Global Depth

Title: Estimating local Gaussian parameters
Author: Tore Selland Kleppe <tore.kleppe@math.uib.no>
Maintainer: Tore Selland Kleppe <tore.kleppe@math.uib.no>
Description: This package provides computational routines for
estimating and visualizing local Gaussian parameters.

Depends: ggplot2, MASS, foreach, matrixStats

Description: This package provides computational routines for estimating and visualizing local Gaussian parameters.

Title: Estimating Local Gaussian Parameters
Author: Tore Selland Kleppe <tore.kleppe@uis.no>
Maintainer: Tore Selland Kleppe <tore.kleppe@uis.no>
Description: Computational routines for estimating and visualizing local Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence within bivariate data. See e.g. Tjostheim and Hufthammer, Local Gaussian correlation: A new measure of dependence, Journal of Econometrics, 2013, Volume 172 (1), pages 33-48.

Description: Computational routines for estimating local Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence within bivariate data. See e.g. Tjostheim and Hufthammer, Local Gaussian correlation: A new measure of dependence, Journal of Econometrics, 2013, Volume 172 (1), pages 33-48 <DOI:10.1016/j.jeconom.2012.08.001>.
Packaged: 2016-11-14 12:03:58 UTC; torekleppe

Depends: MASS, foreach, matrixStats, ggplot2
Packaged: 2021-10-06 11:18:57 UTC; torekleppe

Description: The package converts R data onto input and data for LocalSolver,
executes optimization and exposes optimization results as R data.
LocalSolver (http://www.localsolver.com/) is an optimization engine
developed by Innovation24 (http://www.innovation24.fr/). It is designed to
solve large-scale mixed-variable non-convex optimization problems.  The
localsolver package is developed and maintained by WLOG Solutions
(http://www.wlogsolutions.com/en/) in collaboration with Decision Support
and Analysis Division at Warsaw School of Economics
Author: Walerian Sokolowski [aut, cre, cph],
SystemRequirements: At least trial version of LocalSolver to be