Project

Reverse Dependencies for statsample

The projects listed here declare statsample as a runtime or development dependency

0.39
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Scientific gems for Ruby. This is the full installation with rigid version constraints.
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0.07
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There's a lot of open issues
A gem for manipulating XBRL financial filings
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Statsample-timeseries is an extension to Statsample. It incorporates helpful timeseries functions and modules like ARMA, ARIMA, acf, pacf, lags etc.
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There's a lot of open issues
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.
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0.01
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There's a lot of open issues
framework for optimising any computational pipeline or program
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0.01
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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
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0.0
Repository is archived
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Determine which of two program variants is faster, using A/B-Testing-style statistical techniques.
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Gain insights into how you have improved over time. Has graphs, histograms, and other fancy stuff!
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 Popularity
0.0
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Dates keeps track of things you two have been meaning to do, and learns to make good suggestions as you teach it.
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An utility to fetch various statistics from Elasticsearch.
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An EventMachine Client for Doozer
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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.
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0.0
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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.
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0.0
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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
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0.0
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Structural equation modeling (SEM) for statsample gem, usign ruby and R
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Various functions for time series analysis.
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Systems Biology Library for Ruby
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