PIT Plots for a CMP Object
Attendance data set
Combine R Objects by Columns
Augment data with information from a(n) CMP model object
Calculate the Normalizing Constant for COM-Poisson distribution
Akaike's Information Criterion
The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
ggplot version of PIT Plots for a CMP Object
Likelihood Ratio Test for nested COM-Poisson models
Extract Model Coefficients from a COM-Poisson Model Fit
Confidence Intervals for CMP Model Parameters
Solve for Lambda for a Particular Mean Parametrized COM-Poisson Distribution
Calculate the Log-Likelihood of the COM-Poisson model
Likelihood Ratio Test for nu = 1 of a COM-Poisson model
Plot Diagnostic for a glm.cmp Object in ggplot
Parameter Generator for nu
Functions to Compute Various Expected Values for the COM-Poisson Distribution
Extract COM-Poisson Model Residuals
regression.diagnostic.cmp
CMP Regression Diagnostic
Model Predictions for a glm.cmp Object
Test for a whole number
Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit
Cotton Bolls data set
Print Values of COM-Poisson Model
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model
Glance at a(n) CMP model object
Non-randomized Probability Integral Transform
Extract Fitted Values from a COM-Poisson Model Fit
Extract the Design Matrix from a COM-Poisson Model Fit
Objects exported from other packages
Random Normal Probability Integral Transform
Plot Diagnostic for a glm.cmp Object
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear
Model with varying dispersion.
Extract the Model Frame from a COM-Poisson Model Fit
Sitophilus data set
Mean-parametrized Conway-Maxwell Poisson Regression
Takeover Bids data set
Tidy a(n) CMP model object
Summarizing COM-Poisson Model Fit
Calculate the Normalizing Constant in log scale for COM-Poisson distribution
The calculation of the function logZ will be performed here. This function is
used to approximate the normalizing constant for COM-Poisson distributions via
truncation. The standard COM-Poisson parametrization is being used here.
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear
Model with constant dispersion.
Fish data set
Calculate the Normalizing Constant in log scale for COM-Poisson distribution
Extract the Number of Observation from a COM-Poisson Model Fit
Update and Re-fit a COM-Poisson Model
Extracting the Variance-Covariance Matrix from a COM-Poisson
Model Fit