SGP (0.3-5.0)
An R Package for the Calculation and Visualization of Student Growth Percentiles..
http://cran.r-project.org/web/packages/SGP/
https://r-forge.r-project.org/projects/sgp/
http://cran.r-project.org/web/packages/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.
Maintainer:
Damian W. Betebenner
Author(s): Damian W. Betebenner <dbetebenner@nciea.org> and Adam Van Iwaarden <Vaniwaarden@colorado.edu> with contributions from Ben Domingue, Jonathan Weeks, John Stewart, Jinnie Choi, Xin Wei, and Hi Shin Shim. With special thanks to State Department of Education analysts: Rebecca Gau (Arizona), Marie Huchton (Colorado), Dr. Carissa Miller (Idaho), Dr. Wes Bruce (Indiana), Robert Hochsegang (Indiana), Xuewen Sheng (Kansas), Robert Lee (Massachusetts), Ken Thompson (Mississippi), Soo Yeon Cho (Missouri), Jeff Halsell (Nevada), Selcuk Ozdemir (Nevada), Deb Wiswell (New Hampshire), Ana Karantonis (Rhode Island), Dr. Deborah Jonas (Virginia), Joseph Newton (Wisconsin), Dr. Philip Olsen (Wisconsin), Nick Stroud (Wisconsin).
License: CC BY-SA 3.0 US | CC BY-NC-SA 3.0 + file LICENSE
Uses: data.table, foreach, plyr, quantreg, boot, colorspace, gridBase, snow, sn, doMC, randomNames
Reverse suggests: SGPdata
Released almost 2 years ago.
