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The SGP Package is open source software built for theR software environment. The classes, functions and data within the SGP package are used to calculate student growth percentiles and percentile growth projections/trajectories using large scale, longitudinal assessment data. Quantile regression is used to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the derived coefficient matrices and show the percentile growth needed to reach future achievement targets.

To install the latest stable release of SGP fromCRAN

> install.packages("SGP")

To install the development release of SGP fromGitHub:

>devtools::install_github("CenterForAssessment/SGP")

• SGP GitHub Pages
• CRAN Repo
• Norm- and Criterion-Referenced Student Growth

The SGP Package is crafted with ❤️ by:

• Damian Betebenner
• Adam R. Van Iwaarden
• Ben Domingue
• Yi Shang

We love feedback and are happy to answer questions.

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2024). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Core Team (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URLhttps://www.R-project.org/.