Toolkit to Validate New Data for a Predictive Model

A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.


Reference manual

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0.8.2 by Lars Kjeldgaard, 2 years ago

Browse source code at

Authors: Lars Kjeldgaard [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports data.table, crayon

Suggests testthat, knitr, rmarkdown

See at CRAN