Implements an information theory approach to the analysis of line cross data providing model averaged results of parameter estimates and unconditional standard errors. Also includes functions to provide a visualization of models space, custom plots of multi-model inference results, and traditional line cross analysis plots.
| Version: | 2.0.0 |
| Imports: | plotrix, viridis |
| Suggests: | knitr |
| Published: | 2015-12-03 |
| Author: | Heath Blackmon and Jeffery P. Demuth |
| Maintainer: | Heath Blackmon <coleoguy at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/coleoguy/SAGA |
| NeedsCompilation: | no |
| CRAN checks: | SAGA results |
| Reference manual: | SAGA.pdf |
| Vignettes: |
SAGA tutorial |
| Package source: | SAGA_2.0.0.tar.gz |
| Windows binaries: | r-devel: SAGA_2.0.0.zip, r-release: SAGA_2.0.0.zip, r-oldrel: SAGA_2.0.0.zip |
| OS X Mavericks binaries: | r-release: SAGA_2.0.0.tgz, r-oldrel: SAGA_2.0.0.tgz |
| Old sources: | SAGA archive |
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