Pablo Michel Marin Ortega, Kornelius Rohmeyer
Pablo Michel Marin Ortega <pablomo@uclv.edu.cu>
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.

Collaborative Filtering by Reference Classes
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.
See Aggarwal (2016) <doi:10.1007/978-3-319-29659-3> for an overview.

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".

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.

c(
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>
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,
contact the maintainer of this package.
testthat, covr, ggplot2, reshape2, plyr, MASS, knitr
Collin Erickson [aut, cre],
Matthew Plumlee [aut]