OptimClassifier (0.1.5)

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).

Maintainer: Agustn Prez-Torregrosa
Author(s): Agustin Perez-Martin [aut] (<https://orcid.org/0000-0003-4994-3176>), Agustin Perez-Torregrosa [cre, aut] (<https://orcid.org/0000-0001-5658-4795>), Marta Vaca-Lamata [aut] (<https://orcid.org/0000-0001-8496-5579>), Antonio Jose Verdu-Jover [aut] (<https://orcid.org/0000-0002-6201-7196>)

License: GPL (>= 2)

Uses: clisymbols, crayon, dplyr, e1071, ggplot2, lme4, lmtest, MASS, nnet, nortest, rpart, testthat, knitr, rmarkdown
Reverse depends: RcmdrPlugin.OptimClassifier

Released 15 days ago.