| Name : R-BinaryEPPM
| |
| Version : 3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 11:24:12
|
| Group : Development/Libraries/Other
| Source RPM : R-BinaryEPPM-3.0-lp153.1.2.src.rpm
|
| Size : 0.44 MB
| |
| Packager : (none)
| |
| Summary : Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
