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
Repository: https://smaakage85.r-universe.dev
Date/Publication: 2019-06-13 08:28:49 UTC
RemoteUrl: https://github.com/smaakage85/recorder
RemoteRef: HEAD
RemoteSha: 13680fa8df45f0db3bad6fe038e7329b489a2735
NeedsCompilation: no
Packaged: 2026-10-11 12:20:59 UTC; root
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>