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DQA

Data Quality Assessment Tools

In the context of data quality assessment, this package provides a number of functions for evaluating data quality across various dimensions, including completeness, plausibility, concordance, conformance, currency, timeliness, and correctness. It has been developed based on two well-known frameworks—Michael G. Kahn (2016) <doi: 10.13063/2327-9214.1244> and Nicole G. Weiskopf (2017) <doi: 10.5334/egems.218>—for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 DQA_0.1.1.tar.gz 156.7 KiB
0.1.1 rolling linux/noble R-4.5 DQA_0.1.1.tar.gz 156.6 KiB
0.1.1 rolling source/ R- DQA_0.1.1.tar.gz 38.8 KiB
0.1.1 latest linux/jammy R-4.5 DQA_0.1.1.tar.gz 156.7 KiB
0.1.1 latest linux/noble R-4.5 DQA_0.1.1.tar.gz 156.6 KiB
0.1.1 latest source/ R- DQA_0.1.1.tar.gz 38.8 KiB
0.1.1 2026-04-26 source/ R- DQA_0.1.1.tar.gz 38.8 KiB
0.1.1 2026-04-23 source/ R- DQA_0.1.1.tar.gz 38.8 KiB
0.1.0 2026-04-09 windows/windows R-4.5 DQA_0.1.0.zip 158.1 KiB

Dependencies (latest)

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