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recorder  

Toolkit to Validate New Data for a Predictive Model
View on CRAN: Click here


Download and install recorder package within the R console
Install from CRAN:
install.packages("recorder")

Install from Github:
library("remotes")
install_github("cran/recorder")

Install by package version:
library("remotes")
install_version("recorder", "0.8.2")



Attach the package and use:
library("recorder")
Maintained by
Lars Kjeldgaard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-20
Latest Update: 2019-06-13
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.
How to cite:
Lars Kjeldgaard (2019). recorder: Toolkit to Validate New Data for a Predictive Model. R package version 0.8.2, https://cran.r-project.org/web/packages/recorder. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 0.8.0 (2019-05-20 10:10), 0.8.1 (2019-05-21 09:00)
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View recorder citation profile
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Complete documentation for recorder
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