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recorder
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]
[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:
Other packages that cited recorder R package
View recorder citation profile
Other R packages that recorder depends,
imports, suggests or enhances
Complete documentation for recorder
Functions, R codes and Examples using
the recorder R package
Some associated functions: compress_detailed_tests . concatenate_test_failures . create_test_results_df . create_tests_meta_data . get_clean_rows . get_failed_tests . get_failed_tests_string . get_tests_meta_data . ignore . ignore_cols . ignore_combinations . ignore_tests . iris_newdata . order_by_tests . play . print.data.playback . record.character . record.data.frame . record.default . record.factor . record.integer . record.numeric . record . run_validation_tests.character . run_validation_tests.default . run_validation_tests.factor . run_validation_tests.integer . run_validation_tests.numeric . run_validation_tests .
Some associated R codes: data.R . get_clean_rows.R . helper_functions.R . ignore.R . play.R . print.R . record.R . Full recorder package functions and examples
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