Package: recorder
Title: Toolkit to Validate New Data for a Predictive Model
Version: 0.8.2
Authors@R: 
    person(given = "Lars",
           family = "Kjeldgaard",
           role = c("aut", "cre"),
           email = "lars_kjeldgaard@hotmail.com")
Description: 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.
URL: https://github.com/smaakage85/recorder
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: data.table, crayon
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-13 08:29:59 UTC; w19799
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>
Repository: CRAN
Date/Publication: 2019-06-13 08:40:03 UTC
Built: R 4.6.0; ; 2026-04-27 01:33:55 UTC; unix
