Implements a screening procedure proposed by Wanghuan Chu, Runze Li and Matthew Reimherr (2016) <doi:10.1214/16-AOAS912> for varying coefficient longitudinal models with ultra-high dimensional predictors . The effect of each predictor is allowed to vary over time, approximated by a low-dimensional B-spline. Within-subject correlation is handled using a generalized estimation equation approach with structure specified by the user. Variance is allowed to change over time, also approximated by a B-spline.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.2.1) |
| Imports: | gee, expm, splines, MASS |
| Published: | 2016-07-28 |
| Author: | Runze Li [aut], Wanghuan Chu [aut], Liying Huang [aut, cre], John Dziak [aut] |
| Maintainer: | Liying Huang <lxh37 at PSU.EDU> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | The Pennsylvania State University |
| NeedsCompilation: | no |
| CRAN checks: | VariableScreening results |
| Reference manual: | VariableScreening.pdf |
| Package source: | VariableScreening_0.1.1.tar.gz |
| Windows binaries: | r-devel: VariableScreening_0.1.1.zip, r-release: VariableScreening_0.1.1.zip, r-oldrel: VariableScreening_0.1.1.zip |
| OS X El Capitan binaries: | r-release: VariableScreening_0.1.1.tgz |
| OS X Mavericks binaries: | r-oldrel: VariableScreening_0.1.1.tgz |
| Old sources: | VariableScreening archive |
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