An R Package for the Calculation and Visualization of Student Growth Percentiles & Percentile Growth Trajectories 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. Software Depends: R (>= 2.12), boot, colorspace, data.table (>= 1.7.9), foreach, grid, gridBase, methods, plyr, reshape2, randomNames (>= 0.0-5), quantreg, splines, SGPdata Suggests: doMC, doMPI, doParallel, doRedis, doSNOW, multicore, parallel, pdf2, RSQLite, sn, snow Damian W. Betebenner <dbetebenner@nciea.org> Damian W. Betebenner <dbetebenner@nciea.org>, Adam Van Iwaarden <Vaniwaarden@colorado.edu> and Ben Domingue <ben.domingue@gmail.com> with contributions from Jonathan Weeks, John Stewart, Jinnie Choi, Xin Wei, and Hi Shin Shim. With special thanks to State Department of Education analysts: Dr. Sarah Polasky (Arizona), Rebecca Gau (Arizona), Dr. Bill Bonk (Colorado), Marie Huchton (Colorado), Glenn Hirata (Hawaii), Glenn Nochi (Hawaii), Ayaka Nukui (Idaho), Dr. Carissa Miller (Idaho), Dr. Wes Bruce (Indiana), Robert Hochsegang (Indiana), Xuewen Sheng (Kansas), Robert Lee (Massachusetts), Joe DeCastra (Mississippi), Ken Thompson (Mississippi), Soo Yeon Cho (Missouri), Jeff Halsell (Nevada), Selcuk Ozdemir (Nevada), Roger Silva (Nevada), Deb Wiswell (New Hampshire), Katya Levitan-Reiner (New Haven Public Schools), Jason Becker (Rhode Island), Jessica Brown (Rhode Island), Ana Karantonis (Rhode Island), Dr. Deborah Jonas (Virginia), Juan D'Brot (West Virginia), Nate Hixson (West Virginia), Daniel Bush (Wisconsin), Justin Meyer (Wisconsin), Joseph Newton (Wisconsin), Dr. Philip Olsen (Wisconsin), Nick Stroud (Wisconsin). CC BY-SA 3.0 US CC BY-NC-SA 3.0 + file LICENSE (http://CRAN.R-project.org/package=SGP/LICENSE) 2012-04-12 application/tgz http://CRAN.R-project.org/package=SGP