In franciscomartinezdelrio/DGLMExtPois: Double Generalized Linear Models Extending Poisson Regression

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

DGLMExtPois

DGLMExtPois is a package that contains statistical functions for the model estimation, dispersion testing and diagnosis of hyper-Poisson and Conway-Maxwell-Poisson regression models.

Installation

You can install the released version of DGLMExtPois from CRAN with:

install.packages("DGLMExtPois")

and the development version from github with:

devtools::install_github("franciscomartinezdelrio/DGLMExtPois")

Example

This is a basic example which shows you how to solve a common problem:

library(DGLMExtPois)
library(Ecdat)
Bids$size.sq <- Bids$size ^ 2
hP.bids <- glm.hP(formula.mu = numbids ~ leglrest + rearest + finrest +
                    whtknght + bidprem + insthold + size + size.sq +
                    regulatn,
                    formula.gamma = numbids ~ 1,
                    data = Bids)
summary(hP.bids)
AIC(hP.bids)
BIC(hP.bids)
coef(hP.bids)
confint(hP.bids)
head(fitted(hP.bids))
head(residuals(hP.bids))

CMP.bids <- glm.CMP(formula.mu = numbids ~ leglrest + rearest + finrest +
                    whtknght + bidprem + insthold + size + size.sq +
                    regulatn,
                    formula.nu = numbids ~ 1,
                    data = Bids)
summary(CMP.bids)
AIC(CMP.bids)
BIC(CMP.bids)
coef(CMP.bids)
confint(CMP.bids)
head(fitted(CMP.bids))
head(residuals(CMP.bids))

franciscomartinezdelrio/DGLMExtPois documentation built on Sept. 11, 2023, 3:04 a.m.