Functions to calculate 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.
| Version: | 0.0-4 |
| Depends: | R (≥ 2.7.0), splines, quantreg, grid, gtools |
| Published: | 2009-04-14 |
| Author: | Damian W. Betebenner, with contributions from Jonathan Weeks, Jinnie Choi, Marie Huchton, Xin Wei, and Hi Shin Shim |
| Maintainer: | Damian W. Betebenner <dbetebenner at nciea.org> |
| License: | file LICENSE |
| CRAN checks: | SGP results |
| Package source: | SGP_0.0-4.tar.gz |
| MacOS X binary: | SGP_0.0-4.tgz |
| Windows binary: | SGP_0.0-4.zip |
| Reference manual: | SGP.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | SGP archive |