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mixpoissonreg
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Download and install mixpoissonreg package within the R console
Install from CRAN:
install.packages("mixpoissonreg")
Install from Github:
library("remotes")
install_github("cran/mixpoissonreg")
Install by package version:
library("remotes")
install_version("mixpoissonreg", "1.0.0")
Attach the package and use:
library("mixpoissonreg")
Maintained by
Alexandre B. Simas
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-10
Latest Update: 2021-03-10
Description:
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) for further details.
How to cite:
Alexandre B. Simas (2021). mixpoissonreg: Mixed Poisson Regression for Overdispersed Count Data. R package version 1.0.0, https://cran.r-project.org/web/packages/mixpoissonreg
Previous versions and publish date:
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Functions, R codes and Examples using
the mixpoissonreg R package
Some associated functions: Attendance . augment.mixpoissonreg . autoplot.mixpoissonreg . coef.mixpoissonreg . fitted.mixpoissonreg . glance.mixpoissonreg . influence.mixpoissonreg . local_influence.mixpoissonreg . local_influence . local_influence_autoplot.mixpoissonreg . local_influence_plot.mixpoissonreg . logLik.mixpoissonreg . mixpoissonreg . mixpoissonregML . plot.mixpoissonreg . predict.mixpoissonreg . residuals.mixpoissonreg . summary.mixpoissonreg . tidy.mixpoissonreg . tidy_local_influence.mixpoissonreg . tidy_local_influence . vcov.mixpoissonreg .
Some associated R codes: 1_mixpoissonreg.R . 2_diagnostic_functions.R . 3_global_influence.R . 4_local_influence.R . 5_em_mixpoissonreg.R . 6_ml_mixpoissonreg.R . 7_auxiliary_functions.R . 8_tidy_mixpoissonreg.R . 9_info_datasets.R . Full mixpoissonreg package functions and examples
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