Package: writeAlizer 1.7.4

writeAlizer: Generate Predicted Writing Quality Scores

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 documented in Keller-Margulis et al. (2026)<doi:10.35542/osf.io/36dn5_v1>, 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.

Authors:Sterett H. Mercer [aut, cre]

writeAlizer_1.7.4.tar.gz
writeAlizer_1.7.4.zip(r-4.7-any)writeAlizer_1.7.4.zip(r-4.6-any)writeAlizer_1.7.4.zip(r-4.5-any)
writeAlizer_1.7.4.tgz(r-4.6-any)writeAlizer_1.7.4.tgz(r-4.5-any)
writeAlizer_1.7.4.tar.gz(r-4.7-any)writeAlizer_1.7.4.tar.gz(r-4.6-any)
writeAlizer_1.7.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
writeAlizer/json (API)

# Install 'writeAlizer' in R:
install.packages('writeAlizer', repos = c('https://shmercer.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shmercer/writealizer/issues

Pkgdown/docs site:https://shmercer.github.io

On CRAN:

Conda:

automated-essay-scoringcaretcoh-metrixcurriculum-based-measurementeducational-measurementeducational-technologygametmachine-learningnatural-language-processingpredictive-modelingreaderbenchtext-analysiswriting-analyticswriting-assessmentwriting-tools

5.59 score 3 stars 3 scripts 354 downloads 13 exports 73 dependencies

Last updated from:cc8a9d404c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK180
source / vignettesOK394
linux-releaseOK165
macos-releaseOK178
macos-oldrelOK156
windows-develOK146
windows-releaseOK143
windows-oldrelOK141
wasm-releaseOK118

Exports:downloadimport_cohimport_gametimport_merge_gamet_rbimport_rbkeep_stem_before_txtmodel_depspredict_qualitypreprocesswa_cache_clearwa_cache_dirwa_downloadwa_seed_example_models

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

writeAlizer: Getting Started
Background | Choose a model | Installing writeAlizer | Optional model dependencies | Development version | Quick start | Try the workflow without downloads | Importing data | How text IDs are handled | Predicting writing quality | ReaderBench and Coh-Metrix results | GAMET results | Comparing scores across groups of texts | Save your results | Available models at a glance (with references) | ReaderBench | Coh-Metrix | GAMET and the offline demonstration | Working with the model download cache | Troubleshooting | Setting up the analysis programs | Preparing your analysis files | File format and Windows encodings | Detecting File Encoding | Converting to UTF-8 | Processing Files in ReaderBench | Setting the Java Path in Windows | Processing Files in Coh-Metrix | Processing Files in GAMET | References

Last update: 2026-10-19
Started: 2025-10-02

writeAlizer: Scoring Model Development
How to use this reference | Recommended Models for Use | Scoring Model Development | Predictive Algorithms and R Packages Used | Steps | 1. Import Data | 2. Pre-Process Data | 3. Determine Optimal Tuning Parameters | 4. Final/Optimal Model for each Algorithm | 5. Estimate an Ensemble Model to Combine the Algorithms | 6. Generate Predicted Quality Scores from each Ensemble | 7. Average Scores to get Final Predicted Quality Scores | ReaderBench Model 1 | General Description | ReaderBench Model 1a | Algorithm Weightings in Ensemble | Metric Importance in Each Algorithm and Ensemble | ReaderBench Model 1b | ReaderBench Model 1c | ReaderBench Model 1d | Proportion of Variance by Varimax Rotated Component (RC) | Varimax Rotated Loadings | ReaderBench Model 1e | ReaderBench Model 1f | ReaderBench Model 2 | ReaderBench Model 2a | ReaderBench Model 2b | ReaderBench Model 2c | ReaderBench Model 3 | ReaderBench Model 3narr | ReaderBench Model 3exp | ReaderBench Model 3per | Coh-Metrix Model 1 | Coh-Metrix Model 1a | Coh-Metrix Model 1b | Coh-Metrix Model 1c | Coh-Metrix Model 1d | Coh-Metrix Model 1e | Coh-Metrix Model 1f | Coh-Metrix Model 2 | Coh-Metrix Model 2a | Coh-Metrix Model 2b | Coh-Metrix Model 2c | Coh-Metrix Model 3 | CohMetrix Model 3narr | Coh-Metrix Model 3exp | Coh-Metrix Model 3per | Automated Written Expression CBM (aWE-CBM) Model 1 | Correct Word Sequences Model | Correct Minus Incorrect Word Sequences Model | References

Last update: 2026-10-06
Started: 2025-11-06