OptimClassifier: Create the Best Train for Classification Models

Patterns searching and binary classification in economic and financial data is a large field of research. There are a large part of the data that the target variable is binary. Nowadays, many methodologies are used, this package collects most popular and compare different configuration options for Linear Models (LM), Generalized Linear Models (GLM), Linear Mixed Models (LMM), Discriminant Analysis (DA), Classification And Regression Trees (CART), Neural Networks (NN) and Support Vector Machines (SVM).

Package details

AuthorAgustín Pérez-Martín [aut] (<https://orcid.org/0000-0003-4994-3176>), Agustín Pérez-Torregrosa [cre, aut] (<https://orcid.org/0000-0001-5658-4795>), Marta Vaca-Lamata [aut] (<https://orcid.org/0000-0001-8496-5579>), Antonio José Verdú-Jover [aut] (<https://orcid.org/0000-0002-6201-7196>)
MaintainerAgustín Pérez-Torregrosa <[email protected]>
LicenseGPL (>= 2)
Version0.1.4
URL https://economistgame.github.io/OptimClassifier
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("OptimClassifier")

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OptimClassifier documentation built on April 9, 2018, 5:05 p.m.