Tue, 20 Oct 2026

Package oeli updated to version 0.7.9 with previous version 0.7.8 dated 2026-09-14

Title: Some Utilities for Developing Data Science Software
Description: A collection of general-purpose helper functions that I (and maybe others) find useful when developing data science software. Includes tools for simulation, data transformation, input validation, and more.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between oeli versions 0.7.8 dated 2026-09-14 and 0.7.9 dated 2026-10-20

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Package TKCat updated to version 1.3.0 with previous version 1.2.3 dated 2026-08-20

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detailed data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored and shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between TKCat versions 1.2.3 dated 2026-08-20 and 1.3.0 dated 2026-10-20

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More information about TKCat at CRAN
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Package intraclass updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-10

Title: Modern Intraclass Correlation Coefficients
Description: Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than the classical analysis-of-variance mean-squares approach. Provides the full ICC family (absolute agreement versus consistency, single versus average, fixed versus random raters, one-way versus two-way) with boundary-aware Monte-Carlo confidence intervals, support for imbalanced, incomplete, and multilevel (nested) designs, decision-study projection to other numbers of raters, and an interactive helper for choosing the correct coefficient. Multilevel methods follow ten Hove, Jorgensen and van der Ark (2022) <doi:10.1037/met0000391>.
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>

Diff between intraclass versions 0.1.0 dated 2026-09-10 and 0.2.0 dated 2026-10-20

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More information about intraclass at CRAN
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