revaliew-package: revaliew
In violetacln/revaliew: advanced validation implementation: review of data content
Description
Advanced data validation and review made easy
Details
Built on a large number of reliable R-packages
with the purpose of automating important tasks like:
describing the main uni and multi-variate characteristics of a data set;
finding anomalous patterns, clusters and/or outliers in data;
verifying assumptions about data (and models/statistical tests);
evaluating glm or time series models;
reporting using quantitative measures and visual representations.
violetacln/revaliew documentation built on March 17, 2021, 6:02 p.m.
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Description
Advanced data validation and review made easy
Details
Built on a large number of reliable R-packages with the purpose of automating important tasks like: describing the main uni and multi-variate characteristics of a data set; finding anomalous patterns, clusters and/or outliers in data; verifying assumptions about data (and models/statistical tests); evaluating glm or time series models; reporting using quantitative measures and visual representations.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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