R (>= 2.7.0), data.table, grid, gtools, quantreg, plyr,
splines

c(person("Damian", "Betebenner",
email="dbetebenner@nciea.org"), person("Adam", "Van Iwaarden",
email="Vaniwaarden@colorado.edu"))
Damian W. Betebenner <dbetebenner@nciea.org>, with
contributions from Adam Van Iwaarden, Jonathan Weeks, John
Stewart, Jinnie Choi, Marie Huchton, Xin Wei, and Hi Shin Shim
R (>= 2.10), data.table, grid, gtools, plyr, quantreg, sn,
splines

R (>= 2.10), data.table (>= 1.5.3), foreach, grid, gtools,
plyr, quantreg, sn, splines

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 students 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.

SGP: An R Package for the Calculation and Visualization of
Student Growth Percentiles.
Damian W. Betebenner <dbetebenner@nciea.org>, with
contributions from Adam Van Iwaarden, 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. Wes Bruce (Indiana),
Robert Hochsegang (Indiana), Robert Lee (Massachusetts), Soo
Yeon Cho (Missouri), Ana Karantonis (Rhode Island), Dr. Deborah
Jonas (Virginia), Dr. Philip Olsen (Wisconsin), Nick Stroud
(Wisconsin).
R (>= 2.10), colorspace, data.table (>= 1.5.3), foreach, grid,
gridBase, gtools, plyr, quantreg, sn, splines
CC BY-SA 3.0 US | CC BY-NC-SA 3.0 + file LICENSE

An R Package for the Calculation and Visualization of Student
Growth Percentiles.

R (>= 2.10), boot, colorspace, data.table (>= 1.5.3), foreach,
grid, gridBase, gtools, plyr, quantreg, sn, splines

Damian W. Betebenner <dbetebenner@nciea.org> and Adam Van
Iwaarden <Vaniwaarden@colorado.edu> with contributions from
Jonathan Weeks, Ben Domingue, 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).
R (>= 2.10), data.table (>= 1.5.3), foreach, grid, methods,
plyr, quantreg, splines
boot, colorspace, gridBase, pdf2, randomNames, sn