Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (S. Mercier and J.-J. Daudin (2001) <https://hal.archives-ouvertes.fr/hal-00714174>) ; S. Karlin and S. Altschul (1990) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC53667/>  ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.archives-ouvertes.fr/hal-00937529v1> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).

Claudio Agostinelli <claudio@unive.it> and Mario Romanazzi
<romanaz@unive.it>
Simplicial, Mahalanobis and Ellipsoid Local and Global
Depth

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

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

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

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.

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>.

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
(http://www.sgh.waw.pl/en/).
Walerian Sokolowski [aut, cre, cph],
Wit Jakuczun [aut, cph],
Natalia Okinczyc [aut],
Bogumil Kaminski [aut]
c(
person("Walerian", "Sokolowski",
role = c("aut", "cre", "cph"),
email = "walerian.sokolowski@wlogsolutions.com"),
person("Wit", "Jakuczun",
role = c("aut", "cph"),
email = "Wit.Jakuczun@wlogsolutions.com"),
person("Natalia", "Okinczyc",
role = "aut",
email = "natalia.okinczyc@wlogsolutions.com"),
person("Bogumil", "Kaminski",
role = "aut",
email = "bkamins@sgh.waw.pl"))
At least trial version of LocalSolver to be
downloaded from http://www.localsolver.com/download.html