ropespores.grouped

<p>Dilution series where at each dilution of a suspension of potato flour a number of samples were examined for the presence of rope spores. These data are in list form.</p>

datasets

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>.

David Smith

BinaryEPPM

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

ropespores.grouped function

<p>The format is:
List of 4
 $ vdilution    : num [1:10] 0.25 0.5 1 2 4 8 16 32 64 128
 $ fdilution    : Factor w/ 10 levels "0.25","0.5","1",..: 1 2 3 4 5 6 7 8 9 10
 $ offset.p     : num [1:10] 1.386 0.693 0 -0.693 -1.386 ...
 $ number.spores:List of 10
  ..$ : num [1:6] 0 0 0 0 0 1
  ..$ : num [1:6] 0 0 0 0 0 1
  ..$ : num [1:6] 0 0 0 0 0 1
  ..$ : num [1:6] 0 0 0 0 0 1
  ..$ : num [1:6] 0 0 0 0 1 0
  ..$ : num [1:6] 0 0 0 1 0 0
  ..$ : num [1:6] 0 0 1 0 0 0
  ..$ : num [1:6] 0 0 1 0 0 0
  ..$ : num [1:6] 1 0 0 0 0 0
  ..$ : num [1:6] 1 0 0 0 0 0</p>

ropespores.grouped: Dilution series for the presence of rope spores.

Description

Usage

Arguments

Format

Examples