Generate Predicted Writing Quality Scores R package writeAlizer version 1.7.3 Imports variables from 'ReaderBench' (Dascalu et al., 2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads predictive scoring models described in Mercer & Cannon (2022)<doi:10.31244/jero.2022.01.03> and Mercer et al.(2021)<doi:10.1177/0829573520987753>; and generates predicted writing quality and curriculum-based measurement (McMaster & Espin, 2007)<doi:10.1177/00224669070410020301> scores. Software Depends: R (>= 2.10) Imports: caret, cli, digest, dplyr, glue, magrittr, rlang (>= 1.1.0), stats, tidyselect Suggests: caretEnsemble, Cubist, curl, earth, gbm, glmnet, kernlab, knitr, pls, randomForest, rmarkdown, testthat (>= 3.1.0), withr Sterett H. Mercer <sterett.mercer@ubc.ca> Comprehensive R Archive Network (CRAN) Sterett H. Mercer [aut, cre] (ORCID: <https://orcid.org/0000-0002-7940-4221>) MIT + file LICENSE (https://CRAN.R-project.org/package=writeAlizer/LICENSE) 2026-02-17 application/tgz https://CRAN.R-project.org/package=writeAlizer doi:10.32614/CRAN.package.writeAlizer en-US