Author: Pablo Michel Marin Ortega, Kornelius Rohmeyer
Maintainer: Pablo Michel Marin Ortega <pablomo@uclv.edu.cu>
Description: The main results on this project are: a package to analyze
the data based on compensatory fuzzy logic algorithms and a
reasoner for the compensatory fuzzy logic.

Title: Collaborative Filtering by Reference Classes
Description: The collaborative Filtering methodology has been widely used in recommendation systems, which
uses similarities between users or items to make recommendations. A class called CF was implemented,
where it is structured by matrices and composed of recommendation and database manipulation functions.

Description: Developing general equilibrium models, computing general equilibrium and simulating economic dynamics with structural dynamic models in LI (2019, ISBN: 9787521804225) "General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press".
Packaged: 2019-05-17 01:12:11 UTC; Administrator

Packaged: 2019-06-15 23:42:24 UTC; Administrator

Packaged: 2019-12-04 11:47:16 UTC; Administrator

Packaged: 2020-01-24 04:51:25 UTC; Administrator

Packaged: 2020-02-01 00:22:37 UTC; Administrator

Packaged: 2020-03-24 07:10:47 UTC; Administrator

Description: Developing general equilibrium models, computing general equilibrium and simulating economic dynamics with structural dynamic models in LI (2019, ISBN: 9787521804225) "General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press". When developing complex general equilibrium models, GE package should be used in addition to this package.

Title: Composite Grid Gaussian Processes
person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")), # Creator is who gets bothered with issues
person("Matthew", "Plumlee", role = c("aut"))
) # Maintainer: Who to complain to <yourfault@somewhere.net>
Description: Run computer experiments using the adaptive composite grid
algorithm with a Gaussian process model.
The algorithm works best when running an experiment that can evaluate thousands
of points from a deterministic computer simulation.
This package is an implementation of a forthcoming paper by Plumlee,
Erickson, Ankenman, et al. For a preprint of the paper,
Suggests: testthat, covr, ggplot2, reshape2, plyr, MASS, knitr