Package: SGP
Type: Package
Title: An R Package for the Calculation and Visualization of Student
        Growth Percentiles & Percentile Growth Trajectories.
Version: 0.7-1.0
Date: 2011-10-11
Authors@R: c(person("Damian", "Betebenner",
        email="dbetebenner@nciea.org", role=c("aut", "cre")),
        person("Adam", "Van Iwaarden",
        email="Vaniwaarden@colorado.edu", role="aut"))
Author: 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), Katya Levitan-Reiner
        (New Haven Public Schools), Ana Karantonis (Rhode Island), Dr.
        Deborah Jonas (Virginia), Juan D'Brot (West Virginia), Nate
        Hixson (West Virginia), Justin Meyer (Wisconsin), Joseph Newton
        (Wisconsin), Dr. Philip Olsen (Wisconsin), Nick Stroud
        (Wisconsin).
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>
Depends: R (>= 2.12), boot, colorspace, data.table (>= 1.6.4), foreach,
        grid, gridBase, methods, plyr, randomNames (>= 0.0-3),
        quantreg, splines
Suggests: multicore, pdf2, sn, snow
Description: 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.
SystemRequirements: (PDF)LaTeX (http://www.latex-project.org/) with
        pdfpages package for studentGrowthPlot option in visualizeSGP
        to bind together student growth plots into school catalogs.
URL: http://cran.r-project.org/web/packages/SGP/,
        https://r-forge.r-project.org/projects/sgp/
LazyLoad: Yes
LazyData: Yes
License: CC BY-SA 3.0 US | CC BY-NC-SA 3.0 + file LICENSE
Repository: CRAN
Packaged: 2011-10-11 22:25:23 UTC; damian
Date/Publication: 2011-10-12 07:55:45
Built: R 2.12.2; ; 2011-10-30 03:21:30 UTC; windows
