CIS.DGLM: Covariates, Interaction, and Selection for DGLM

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

Documentation:

Reference manual: CIS.DGLM.pdf

Downloads:

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

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