The SGP Package is open source software built for the R 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 from CRAN
To install the development release of SGP from GitHub:
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Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2018). SGP: Student Growth Percentiles & Percentile Growth Trajectories.
R Development Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0.