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).
| Version: |
0.1.4 |
| Depends: |
R (≥ 3.2.3) |
| Imports: |
crayon, dplyr, MASS, lme4, rpart, nnet, e1071, lmtest, nortest, clisymbols, ggplot2 |
| Suggests: |
testthat, knitr, rmarkdown |
| Published: |
2018-04-09 |
| Author: |
Agustín Pérez-Martín
 [aut],
Agustín Pérez-Torregrosa
[cre, aut],
Marta Vaca-Lamata
[aut],
Antonio José Verdú-Jover
[aut] |
| Maintainer: |
Agustín Pérez-Torregrosa <agustin.perez01 at goumh.umh.es> |
| BugReports: |
https://github.com/economistgame/OptimClassifier/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://economistgame.github.io/OptimClassifier |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
OptimClassifier results |