{"name":"GECS","downloads":7556,"version":"2","version_created_at":"2014-07-31T19:43:52.278Z","version_downloads":4475,"platform":"ruby","authors":"David Flater","info":"The Gem for Experimental Computer Science (GECS) is for managing the data resulting from experiments on software and IT systems.  It realizes a data model that disambiguates the vocabulary of experimentation and measurement for a computer science audience.  It also provides convenience functions to determine confidence intervals, analyze main effects and interactions, and export data in an R-compatible format for further analysis and visualization.","licenses":["Unlicense"],"metadata":{},"yanked":false,"sha":"17558310f394ab8417f8beb6e316a37c622c7cab08cf65b771b23d612c6fe8f8","spec_sha":"6dd79fdcd1424e8646f985dacb05c35a442d18e4defe9f1da83422d80ca67f69","project_uri":"https://rubygems.org/gems/GECS","gem_uri":"https://rubygems.org/gems/GECS-2.gem","homepage_uri":"http://www.nist.gov/itl/ssd/cs/software-performance.cfm","wiki_uri":null,"documentation_uri":"https://www.rubydoc.info/gems/GECS/2","mailing_list_uri":null,"source_code_uri":null,"bug_tracker_uri":null,"changelog_uri":null,"funding_uri":null,"dependencies":{"development":[],"runtime":[{"name":"parallel","requirements":">= 0.9.2"},{"name":"statistics2","requirements":">= 0.54"}]}}