Scientific gems for Ruby. This is the full installation with rigid version constraints.

A gem for manipulating XBRL financial filings

Statsample-timeseries is an extension to Statsample. It incorporates helpful timeseries functions and modules like ARMA, ARIMA, acf, pacf, lags etc.

Statsample-GLM is an extension to Statsample, an advance statistics suite in Ruby. This gem includes modules for Regression techniques such as Poisson and Logistic Regression using the IRLS algorithm and Logistic, Probit and Normal Regression using the Newton Raphson algorithm.

framework for optimising any computational pipeline or program

Statsample-GLM is an extension to Statsample, an advance statistics suite in Ruby. This gem includes modules for Regression techniques such as Poisson Regression, Logistic Regression and Exponential Regression

Polychoric and Tetrachoric extensions for Statsample::Bivariate.

Determine which of two program variants is faster, using A/B-Testing-style statistical techniques.

Gain insights into how you have improved over time. Has graphs, histograms, and other fancy stuff!

Dates keeps track of things you two have been meaning to do, and learns to make good suggestions as you teach it.

This rubygem does not have a description or summary.

An utility to fetch various statistics from Elasticsearch.

An EventMachine Client for Doozer

An EventMachine Client for Doozer

The tool validates the input predicted genes and provides useful information (length validation, gene merge validation, sequence duplication checking, ORF finding) based on the similarities to genes in public databases.

Perform Data Analysis on IMDB Movies

OpenCV is a great library for writing Computer Vision software, However, OpenCV's HSV format is different than what you would expect! This gem trys to learn HSV color range from sample images for your OpenCV program to detect color.

Ruby wrapper for the OpenTox REST API (http://www.opentox.org)

Install gsl, statistics2 and provides a C extension to optimize the following methods * Vector#frecuencies * Vector#set_valid_data * Vector#check_type * Dataset#case_as_hash * Dataset#case_as_array * Bivariate::Tetrachoric

Structural equation modeling (SEM) for statsample gem, usign ruby and R