driftwatch: Sequential Monitoring of Item Parameter Drift

Ongoing surveillance of item parameter drift for continuous testing programs and pre-equated item banks. Estimates item difficulty in rolling calibration windows, runs sequential cumulative sum (CUSUM) detection (Page, 1954, <doi:10.1093/biomet/41.1-2.100>; applied to testing by Veerkamp and Glas, 2000, <doi:10.3102/10769986025004373>) with change-point estimation, separates gradual drift from abrupt jumps, tunes alarm thresholds for a bank-wide false-alarm target by simulation on the program's own design, quantifies score and pass-rate impact, and records recommended actions in an audit log.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	stats, utils
Suggests:	knitr, markdown
Published:	2026-10-07
DOI:	10.32614/CRAN.package.driftwatch (may not be active yet)
Author:	Daniel Edi [aut, cre, cph]
Maintainer:	Daniel Edi <danieledi2026 at gmail.com>
BugReports:	https://github.com/edidatasolutions/driftwatch/issues
License:	MIT + file LICENSE
URL:	https://github.com/edidatasolutions/driftwatch, https://edidatasolutions.github.io/driftwatch/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	driftwatch results

Documentation:

Reference manual:	driftwatch.html , driftwatch.pdf
Vignettes:	Continuous drift monitoring for an item bank (source, R code)

Downloads:

Package source:	driftwatch_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: driftwatch_0.1.0.zip
macOS binaries:	r-release (arm64): driftwatch_0.1.0.tgz, r-oldrel (arm64): driftwatch_0.1.0.tgz, r-release (x86_64): driftwatch_0.1.0.tgz, r-oldrel (x86_64): driftwatch_0.1.0.tgz

Linking:

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