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throughyear: Linking, Routing and Fairness for Through-Year Assessment

Treats a through-year assessment system (interims during the year feeding a multistage summative) as the unit of analysis. Links interims to the summative scale with a latent multivariate normal model that carries each score's measurement error forward and handles missing interims, estimated by the EM algorithm (Dempster, Laird and Rubin, 1977, <doi:10.1111/j.2517-6161.1977.tb01600.x>) with SQUAREM acceleration (Varadhan and Roland, 2008, <doi:10.1111/j.1467-9469.2007.00585.x>); simulates cold-start versus prior-informed routing in a two-stage multistage test; checks whether priors disadvantage late enrollers, low scorers or fast growers; and evaluates decision accuracy and consistency of through-year scores against a single summative.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: stats
Suggests: knitr, markdown
Published: 2026-10-08
DOI: 10.32614/CRAN.package.throughyear
Author: Daniel Edi ORCID iD [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026 at gmail.com>
BugReports: https://github.com/edidatasolutions/throughyear/issues
License: MIT + file LICENSE
URL: https://github.com/edidatasolutions/throughyear, https://edidatasolutions.github.io/throughyear/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: throughyear results

Documentation:

Reference manual: throughyear.html , throughyear.pdf
Vignettes: Evaluating a through-year assessment system (source, R code)

Downloads:

Package source: throughyear_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: throughyear_0.1.0.zip
macOS binaries: r-release (arm64): throughyear_0.1.0.tgz, r-oldrel (arm64): throughyear_0.1.0.tgz, r-release (x86_64): throughyear_0.1.0.tgz, r-oldrel (x86_64): throughyear_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=throughyear to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.