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An implementation of double generalized linear model (DGLM) building with variable selection procedures and handling of interaction terms and other complex situations. We also provide a method of handling convergence issues within the dglm() function. The package offers a simulation function for generating simulated data for testing purposes and utilizes the forward stepwise variable selection procedure in model-building. It also provides a new custom bootstrap function for mean and standard deviation estimation and functions for building crossplots and squareplots from a data set.
| Version: | 0.1.0 |
| Imports: | ggplot2, dglm, RColorBrewer, dplyr |
| Published: | 2022-01-17 |
| Author: | Ann Stapleton [aut], Yishi Wang [aut, cre], Kaitlyn Hohmeier [aut], Jordan Tanley [aut] |
| Maintainer: | Yishi Wang <wangy at uncw.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | CIS.DGLM results |
| Reference manual: | CIS.DGLM.pdf |
| Package source: | CIS.DGLM_0.1.0.tar.gz |
| Windows binaries: | r-devel: CIS.DGLM_0.1.0.zip, r-release: CIS.DGLM_0.1.0.zip, r-oldrel: CIS.DGLM_0.1.0.zip |
| macOS binaries: | r-release (arm64): CIS.DGLM_0.1.0.tgz, r-oldrel (arm64): CIS.DGLM_0.1.0.tgz, r-release (x86_64): CIS.DGLM_0.1.0.tgz, r-oldrel (x86_64): CIS.DGLM_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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