https://github.com/centerforassessment/sgp

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.
https://github.com/centerforassessment/sgp

cran percentile-growth-projections quantile-regression r sgp sgp-analyses student-growth-percentiles student-growth-projections

Last synced: 8 months ago
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Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.

• Host: GitHub
• URL: https://github.com/centerforassessment/sgp
• Owner: CenterForAssessment
• License: other
• Created: 2012-01-05T03:51:40.000Z (over 14 years ago)
• Default Branch: master
• Last Pushed: 2025-07-29T21:45:36.000Z (11 months ago)
• Last Synced: 2025-09-05T16:11:15.396Z (9 months ago)
• Topics: cran, percentile-growth-projections, quantile-regression, r, sgp, sgp-analyses, student-growth-percentiles, student-growth-projections
• Language: R
• Homepage: https://sgp.io
• Size: 3.03 GB
• Stars: 20
• Watchers: 11
• Forks: 21
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE.md
  • Citation: CITATION.cff

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README

          
SGP

===

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6471237.svg)](https://doi.org/10.5281/zenodo.6471237)

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[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/SGP)](https://cran.r-project.org/package=SGP)

[![Development Version](https://img.shields.io/badge/devel-2.2--2.3-brightgreen.svg)](https://github.com/CenterForAssessment/SGP)

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# Overview

The SGP Package is open source software built for the [**R** software environment](https://www.r-project.org/). 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.

# Installation

## From [CRAN](https://CRAN.R-project.org/package=SGP)

To install the latest stable release of SGP from [CRAN](https://CRAN.R-project.org/package=SGP)

```R

> install.packages("SGP")

```

## From [Github](https://github.com/CenterForAssessment/SGP/)

To install the development release of SGP from [GitHub](https://github.com/CenterForAssessment/SGP/):

```R

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

```

# Resources

* [SGP GitHub Pages](https://sgp.io)

* [CRAN Repo](https://CRAN.R-project.org/package=SGP)

* [Norm- and Criterion-Referenced Student Growth](https://github.com/CenterForAssessment/SGP_Resources/blob/master/articles/Betebenner_EMIP_2009.pdf)

# Contributors

The SGP Package is crafted with :heart: by:

* [Damian Betebenner](https://github.com/dbetebenner)

* [Adam R. Van Iwaarden](https://github.com/adamvi)

* [Ben Domingue](https://github.com/ben-domingue)

* [Yi Shang](https://github.com/shangyi)

We love feedback and are happy to answer questions.

# References

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2025). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Core Team (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL

https://www.R-project.org/.