CRAN/E | recorder

recorder

Toolkit to Validate New Data for a Predictive Model

Installation

About

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.

github.com/smaakage85/recorder

Key Metrics

Version 0.8.2
R ≥ 3.4.0
Published 2019-06-13 1945 days ago
Needs compilation? no
License MIT
License File
CRAN checks recorder results

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Maintainer

Maintainer

Lars Kjeldgaard

Authors

Lars Kjeldgaard

aut / cre

Material

Reference manual
Package source

Vignettes

Introduction to recorder

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

recorder archive

Depends

R ≥ 3.4.0

Imports

data.table
crayon

Suggests

testthat
knitr
rmarkdown