Package: CountsEPPM 3.1

David M. Smith

CountsEPPM: Mean and Variance Modeling of Count Data

Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .

Authors:David M Smith, Malcolm J Faddy

CountsEPPM_3.1.tar.gz
CountsEPPM_3.1.tar.gz(r-4.7-any)CountsEPPM_3.1.tar.gz(r-4.6-any)
CountsEPPM_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CountsEPPM/json (API)

# Install 'CountsEPPM' in R:

install.packages('CountsEPPM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

ceriodaphnia.group - Ceriodaphnia data
herons.case - Green-backed herons as two groups
herons.group - Green-backed herons as two groups
Luningetal.litters - Number of trials
takeover.bids.case - Takeover bids data.
Titanic.survivors.case - Titanic survivors data
Williams.litters - Number of trials (implantations) of data of Williams (1996).

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 30 scripts 260 downloads 24 exports 7 dependencies

Last updated from:5fbef982eb. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	135
source / vignettes	OK	140
linux-release-x86_64	OK	133
wasm-release	OK	97

Exports:coef.CountsEPPM cooks.distance.CountsEPPM CountsEPPM EPPMprob Faddyprob.general Faddyprob.limiting fitted.CountsEPPM hatvalues.CountsEPPM LL.gradient LL.Regression.Counts logLik.CountsEPPM LRTruncation Model.Counts Model.Faddy Model.FaddyJMV.general Model.FaddyJMV.limiting plot.CountsEPPM predict.CountsEPPM print.CountsEPPM print.summaryCountsEPPM residuals.CountsEPPM summary.CountsEPPM vcov.CountsEPPM waldtest.CountsEPPM

Dependencies:expm Formula lattice lmtest Matrix numDeriv zoo

Mean and Scale-Factor Modeling of Under- and Overdispersed Count Data

Introduction | Description of the functions | Examples | Concluding remarks

Rendered fromVignette_RSP.pdf.asisusingR.rsp::asis

Last update: 2024-01-11
Started: 2024-01-11

Citation

Readme and manuals

Help Manual

Help page	Topics
Fitting of EPPM models to count and binary data.	CountsEPPM-package
Ceriodaphnia data	ceriodaphnia.group
Extraction of model coefficients for CountsEPPM Objects	coef.CountsEPPM
Cook's distance for CountsEPPM Objects	cooks.distance.CountsEPPM
Fitting of EPPM models to count data.	CountsEPPM
Calculation of vector of probabilities for a extended Poisson process model (EPPM).	EPPMprob
Calculation of vector of probabilities for a Faddy distribution.	Faddyprob.general
Calculation of vector of probabilities for the limiting form of the Faddy distribution.	Faddyprob.limiting
Extraction of fitted values from CountsEPPM Objects	fitted.CountsEPPM
Extraction of hat matrix values from CountsEPPM Objects	hatvalues.CountsEPPM
Green-backed herons as two groups	herons.case
Green-backed herons as two groups	herons.group
Function used to calculate the first derivatives of the log likelihood with respect to the model parameters.	LL.gradient
Function called by optim to calculate the log likelihood from the probabilities and hence perform the fitting of regression models to the binary data.	LL.Regression.Counts
Method for CountsEPPM object	logLik.CountsEPPM
Probabilities for distributions truncated on the left (lower) and/or right (upper).	LRTruncation
Number of trials (implantations) in data of Luning, et al. (1966)	Luningetal.litters
Function for obtaining output from distributional models.	Model.Counts
Function for Faddy distribution with log link.	Model.Faddy
Function for a general Faddy distribution modeled by means and scale-factors.	Model.FaddyJMV.general
Function to fit the limiting form of a Faddy distribution for under-dispersed counts.	Model.FaddyJMV.limiting
Diagnostic Plots for CountsEPPM Objects	plot.CountsEPPM
Prediction Method for CountsEPPM Objects	predict.CountsEPPM
Printing of CountsEPPM Objects	print.CountsEPPM
Printing of summaryCountsEPPM Objects	print.summaryCountsEPPM
Residuals for CountsEPPM Objects	residuals.CountsEPPM
Method for CountsEPPM object	summary.CountsEPPM
Takeover bids data.	takeover.bids.case
Titanic survivors data	Titanic.survivors.case
Variance/Covariance Matrix for Coefficients	vcov.CountsEPPM
Wald Test of Nested Models for CountsEPPM Objects	waldtest.CountsEPPM
Number of trials (implantations) of data of Williams (1996).	Williams.litters

Package: CountsEPPM 3.1

CountsEPPM: Mean and Variance Modeling of Count Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)