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Variable Selection Using Random Forests
Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015) < https://journal.r-project.org/articles/RJ-2015-018/>.
Setup and connect to 'OpenTripPlanner'
Setup and connect to 'OpenTripPlanner' (OTP) < http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server to find walking, cycling, driving, or transit routes. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
The Free Group
The free group in R; juxtaposition is represented by a
plus. Includes inversion, multiplication by a scalar,
group-theoretic power operation, and Tietze forms. To cite the
package in publications please use Hankin (2022)
Ecological Drift under the UNTB
Hubbell's Unified Neutral Theory of Biodiversity.
Multivariate Polynomials
Various utilities to manipulate multivariate polynomials. The package is almost completely superceded by the 'spray' and 'mvp' packages, which are much more efficient.
Electrical Properties of Resistor Networks
Electrical properties of resistor networks using matrix methods.
The Exterior Calculus
Provides functionality for working with tensors, alternating
forms, wedge products, Stokes's theorem, and related concepts
from the exterior calculus. Uses 'disordR' discipline
(Hankin, 2022,
A Suite of Routines for Working with Jordan Algebras
A Jordan algebra is an algebraic object originally
designed to study observables in quantum mechanics. Jordan
algebras are commutative but non-associative; they satisfy the
Jordan identity. The package follows the ideas and notation of
K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan
Algebras". To cite the package in publications, please use
Hankin (2023)
The Weyl Algebra
A suite of routines for Weyl algebras. Notation follows
Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic
D-Modules"). Uses 'disordR' discipline
(Hankin 2022
Antiassociative Algebra
Methods to deal with the free antiassociative algebra
over the reals with an arbitrary number of indeterminates.
Antiassociativity means that (xy)z = -x(yz). Antiassociative
algebras are nilpotent with nilindex four (Remm, 2022,