Metadata-Version: 2.1
Name: roses
Version: 0.3
Summary: ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python
Home-page: https://github.com/jacksonpradolima/roses
Author: Jackson Antonio do Prado Lima
Author-email: jacksonpradolima@gmail.com
Maintainer: Jackson Antonio do Prado Lima
Maintainer-email: jacksonpradolima@gmail.com
License: MIT
Description: # ROSES 
        ROSES (**R** pyth**O**n **S**tatistical t**E**st**S**) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.
        
        [![PyPI License](https://img.shields.io/pypi/l/jMetalPy.svg?style=flat-square)]()
        [![PyPI Python version](https://img.shields.io/pypi/pyversions/jMetalPy.svg?style=flat-square)]()
        [![DOI](https://zenodo.org/badge/209055396.svg)](https://zenodo.org/badge/latestdoi/209055396)
        
        This package was created due to differences in the precision from other Python packages for statistical tests. As R is a programming language with excellent libraries for statistical, **ROSES** was created as a bridge (parses) to use them.  
        
        ## Table of Contents
        - [Requirements](#requirements)
        - [Installation](#installation)
        - [Usage](#usage)
        - [Features](#features)
        - [License](#license)
        - [Citation](#citation)
        
        ## Requirements
        
        Install Python:
        
        ```console
        sudo apt install python3-dev python3-setuptools python3-tk python-dev
        ```
        
        Install R:
        ```console 
        sudo apt install r-base
        ```
        
        To compile the R libraries:
        ```console 
        sudo apt install gfortran libcurl4-openssl-dev
        ```
        
        To install the following R libraries, otherwhise a warning will be handled:
        ```console
        install.packages('devtools')
        devtools::install_github("b0rxa/scmamp")
        install.packages('PMCMR')
        install.packages("https://cran.r-project.org/src/contrib/Archive/mvtnorm/mvtnorm_1.0-8.tar.gz", repos=NULL)
        install.packages('PMCMRplus')
        install.packages("https://cran.r-project.org/src/contrib/Archive/rgdal/rgdal_1.3-6.tar.gz", repos=NULL)
        install.packages('pgirmess')
        ```
        
        If you received warnings to install the R libraries, try some the commands as follow:
        
        ```console
        sudo apt install  libevent-dev  libreadline-dev 
        sudo apt install libudunits2-dev libgdal-dev libgeos-dev libproj-dev
        sudo apt install libgmp3-dev libmpfr-dev
        ```
        
        ## Installation
        To download ROSE just clone the Git repository hosted in GitHub:
        
        ```console
        git clone https://github.com/jacksonpradolima/ROSE.git
        python setup.py install
        ```
        
        Alternatively, you can install it with `pip`:
        
        ```console
        pip install roses
        ```
        
        ## Usage
        Examples of configuring and running all the included algorithms are located in the *test* folders [roses folder](roses).
        
        ## Features
        The current release of **ROSES** (v0.3) contains the following tests:
        
        * Kruskal-Wallis with Post-hoc when necessary (comparing p-value)
        * Friedman  with Critical Distance plot and Post-hoc when necessary (comparing p-value)
        * Varghas and Delaney (effect size)
        
        ## License
        This project is licensed under the terms of the MIT - see the [LICENSE](LICENSE) file for details.
        
        ## Citation
        
        If this package contributes to a project which leads to a scientific publication, I would appreciate a citation.
        
        ```
        @misc{roses,
          author       = {Prado Lima, Jackson Antonio do},
          title        = {{ROSES (R pythOn Statistical tEstS)}},
          month        = sep,
          year         = 2019,
          doi          = {10.5281/zenodo.3444187},
          url          = {https://doi.org/10.5281/zenodo.3444187}
        }
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
