OptimClassifier: Create the Best Train for Classification Models

Why of this package?

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:

LM Linear Models (LM)

GLM Generalized Linear Models (GLM)

LMM Linear Mixed Models (LMM)

DA Discriminant Analysis (DA)

CART Classification And Regression Trees (CART)

NN Neural Networks (NN)

SVM Support Vector Machines (SVM)

The next table summarizes a state of package:

Documentation	Repo Status	Build Status
		Linux/Mac Windows

Why in R?

R is an environment for statistical analyses and graphics that is rapidly gaining popularity with machine learning scientists. You can see R-project for one description about R and your ecosystem.