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BinaryEPPM: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

Under- and over-dispersed binary data are modeled using an extended Poisson process model (EPPM) appropriate for binary data. A feature of the model is that the under-dispersion relative to the binomial distribution only needs to be greater than zero, but the over-dispersion is restricted compared to other distributional models such as the beta and correlated binomials. Because of this, the examples focus on under-dispersed data and how, in combination with the beta or correlated distributions, flexible models can be fitted to data displaying both under- and over-dispersion. Using Generalized Linear Model (GLM) terminology, the functions utilize linear predictors for the probability of success and scale-factor with various link functions for p, and log link for scale-factor, to fit a variety of models relevant to areas such as bioassay. Details of the EPPM are in Faddy and Smith (2012) <doi:10.1002/bimj.201100214> and Smith and Faddy (2019) <doi:10.18637/jss.v090.i08>.

Version: 3.0
Depends: R (≥ 3.5.0)
Imports: Formula, expm, numDeriv, stats, lmtest, grDevices, graphics
Suggests: R.rsp
Published: 2024-06-04
DOI: 10.32614/CRAN.package.BinaryEPPM
Author: David M. Smith [aut, cre], Malcolm J. Faddy [aut]
Maintainer: David M. Smith <dmccsmith at verizon.net>
License: GPL-2
NeedsCompilation: no
Citation: BinaryEPPM citation info
CRAN checks: BinaryEPPM results

Documentation:

Reference manual: BinaryEPPM.pdf
Vignettes: Mean and Scale-Factor Modeling of Under- and Overdispersed Grouped Binary Data

Downloads:

Package source: BinaryEPPM_3.0.tar.gz
Windows binaries: r-devel: BinaryEPPM_3.0.zip, r-release: BinaryEPPM_3.0.zip, r-oldrel: BinaryEPPM_3.0.zip
macOS binaries: r-release (arm64): BinaryEPPM_3.0.tgz, r-oldrel (arm64): BinaryEPPM_3.0.tgz, r-release (x86_64): BinaryEPPM_3.0.tgz, r-oldrel (x86_64): BinaryEPPM_3.0.tgz
Old sources: BinaryEPPM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BinaryEPPM to link to this page.

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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