Toolkit to Validate New Data for a Predictive Model R package recorder version 0.8.2 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. Software Depends: R (>= 3.4.0) Imports: data.table, crayon Suggests: testthat, knitr, rmarkdown Lars Kjeldgaard <lars_kjeldgaard@hotmail.com> Comprehensive R Archive Network (CRAN) Lars Kjeldgaard [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=recorder/LICENSE) 2019-06-13 application/tgz https://CRAN.R-project.org/package=recorder doi:10.32614/CRAN.package.recorder