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.
Package details |
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| Author | Daniel Edi [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5475-819X>) |
| Maintainer | Daniel Edi <danieledi2026@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/edidatasolutions/throughyear https://edidatasolutions.github.io/throughyear/ |
| Package repository | View on CRAN |
| Installation |
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