Package: mixpoissonreg 1.0.0

mixpoissonreg: Mixed Poisson Regression for Overdispersed Count Data

Fits mixed Poisson regression models (Poisson-Inverse Gaussian or Negative-Binomial) on data sets with response variables being count data. The models can have varying precision parameter, where a linear regression structure (through a link function) is assumed to hold on the precision parameter. The Expectation-Maximization algorithm for both these models (Poisson Inverse Gaussian and Negative Binomial) is an important contribution of this package. Another important feature of this package is the set of functions to perform global and local influence analysis. See Barreto-Souza and Simas (2016) <doi:10.1007/s11222-015-9601-6> for further details.

Authors:Alexandre B. Simas [aut, cre], Wagner Barreto-Souza [aut]

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mixpoissonreg.pdf |mixpoissonreg.html✨
mixpoissonreg/json (API)
NEWS

# Install 'mixpoissonreg' in R:
install.packages('mixpoissonreg', repos = c('https://vpnsctl.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vpnsctl/mixpoissonreg/issues

Datasets:

On CRAN:

count-datadiagnosticsinfluence-analysislocal-influencenegative-binomial-regressionpoisson-inverse-gaussian-regression

5.44 score 3 stars 23 scripts 179 downloads 13 exports 48 dependencies

Last updated 4 years agofrom:03573c0a90. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:augmentautoplotglancelocal_influencelocal_influence_autoplotlocal_influence_benchmarkslocal_influence_plotmixpoissonregmixpoissonreg.fitmixpoissonregMLmixpoissonregML.fittidytidy_local_influence

Dependencies:clicolorspacedplyrfansifarverFormulagamlssgamlss.datagamlss.distgenericsggplot2ggrepelgluegridExtragtableisobandlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmepbapplypillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangscalesstatmodsurvivaltibbletidyselectutf8vctrsviridisLitewithrzoo

Analyzing overdispersed count data with the mixpoissonreg package

Wagner Barreto-Souza and Alexandre B. Simas

Rendered fromtutorial-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-12
Started: 2020-12-22

Building and customizing base-R diagnostic plots with the mixpoissonreg package

Alexandre B. Simas

Rendered fromplots-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-22

Building and customizing ggplot2-based diagnostic plots with the mixpoissonreg package

Alexandre B. Simas

Rendered fromggplot2-plots-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2021-02-27

Confidence and prediction intervals with the mixpoissonreg package

Alexandre B. Simas

Rendered fromintervals-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-22

Global and local influence analysis with the mixpoissonreg package

Alexandre B. Simas

Rendered frominfluence-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-22

Introduction to mixpoissonreg

Alexandre B. Simas

Rendered frommixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-23

Maximum-likelihood estimation with the mixpoissonreg package

Alexandre B. Simas

Rendered fromml-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-22

mixpoissonreg in the tidyverse

Alexandre B. Simas

Rendered fromtidyverse-mixpoissonreg.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-03-05
Started: 2020-12-22

Readme and manuals

Help Manual

Help pageTopics
Attendance Records data setAttendance
Augment data with information from a 'mixpoissonreg' objectaugment augment.mixpoissonreg
Autoplot Method for 'mixpoissonreg' Objectsautoplot autoplot.mixpoissonreg
Coef Method for 'mixpoissonreg' Objects.coef.mixpoissonreg
Fitted Method for 'mixpoissonreg' Objectsfitted.mixpoissonreg
Glance at a 'mixpoissonreg' objectglance glance.mixpoissonreg
Global Influence Diagnostics for Mixed Poisson Regression Modelscooks.distance.mixpoissonreg hatvalues.mixpoissonreg influence.mixpoissonreg
Local Influence Diagnosticslocal_influence local_influence_plot
Local Influence Autoplots for 'mixpoissonreg' Objectslocal_influence_autoplot.mixpoissonreg
Local Influence Plot Diagnostics for Mixed Poisson Regression Modelslocal_influence_plot.mixpoissonreg
Local Influence Diagnostics for Mixed Poisson Regression Modelslocal_influence.mixpoissonreg
logLik Method for 'mixpoissonreg' ObjectslogLik.mixpoissonreg
Mixed Poisson Regression for Overdispersed Count Datamixpoissonreg mixpoissonreg.fit
Maximum Likelihood Mixed Poisson Regression Models for Overdispersed Count DatamixpoissonregML mixpoissonregML.fit
Plot Diagnostics for 'mixpoissonreg' Objectsplot.mixpoissonreg
Predict Method for 'mixpoissonreg' Objectspredict.mixpoissonreg
Residuals Method for 'mixpoissonreg' Objectsresiduals.mixpoissonreg
Summary Method for 'mixpoissonreg' Objects.summary.mixpoissonreg
Tidy Functions for Local Influence Diagnosticslocal_influence_autoplot local_influence_benchmarks tidy_local_influence
Tidy Functions for Local Influence Diagnostics for 'mixpoissonreg' Objectslocal_influence_benchmarks.mixpoissonreg tidy_local_influence.mixpoissonreg
Tidy a 'mixpoissonreg' objecttidy tidy.mixpoissonreg
Calculate Variance-Covariance Matrix for 'mixpoissonreg' Objectsvcov.mixpoissonreg