AIC.cmp                 Akaike's Information Criterion
CBIND                   Combine R Objects by Columns
COM_Poisson_Distribution
                        The Conway-Maxwell-Poisson (COM-Poisson)
                        Distribution.
LRTnu                   Likelihood Ratio Test for nu = 1 of a
                        COM-Poisson model
PIT_Plot                PIT Plots for a CMP Object
PIT_ggPlot              ggplot version of PIT Plots for a CMP Object
Z                       Calculate the Normalizing Constant for
                        COM-Poisson distribution
attendance              Attendance data set
augment.cmp             Augment data with information from a(n) CMP
                        model object
autoplot.cmp            Plot Diagnostic for a 'glm.cmp' Object in
                        ggplot style
cmplrtest               Likelihood Ratio Test for nested COM-Poisson
                        models
coef.cmp                Extract Model Coefficients from a COM-Poisson
                        Model Fit
comp_expected_values    Functions to Compute Various Expected Values
                        for the COM-Poisson Distribution
comp_lambdas            Solve for Lambda for a Particular Mean
                        Parametrized COM-Poisson Distribution
comp_mu_loglik          Calculate the Log-Likelihood of the COM-Poisson
                        model
confint.cmp             Confidence Intervals for CMP Model Parameters
cottonbolls             Cotton Bolls data set
fish                    Fish data set
fit_glm_cmp_const_nu    Fit a Mean Parametrized Conway-Maxwell Poisson
                        Generalized Linear Model with constant
                        dispersion.
fit_glm_cmp_vary_nu     Fit a Mean Parametrized Conway-Maxwell Poisson
                        Generalized Linear Model with varying
                        dispersion.
fitted.cmp              Extract Fitted Values from a COM-Poisson Model
                        Fit
getnu                   Parameter Generator for nu
glance.cmp              Glance at a(n) CMP model object
glm.cmp                 Fit a Mean Parametrized Conway-Maxwell Poisson
                        Generalized Linear Model
is.wholenumber          Test for a whole number
logLik.cmp              Extract the (Maximized) Log-Likelihood from a
                        COM-Poisson Model Fit
logZ                    Calculate the Normalizing Constant in log scale
                        for COM-Poisson distribution
logZ_c                  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.
model.frame.cmp         Extract the Model Frame from a COM-Poisson
                        Model Fit
model.matrix.cmp        Extract the Design Matrix from a COM-Poisson
                        Model Fit
mpcmp-package           Mean-parametrized Conway-Maxwell Poisson
                        Regression
nobs.cmp                Extract the Number of Observation from a
                        COM-Poisson Model Fit
nrPIT                   Non-randomized Probability Integral Transform
plot.cmp                Plot Diagnostic for a 'glm.cmp' Object
predict.cmp             Model Predictions for a 'glm.cmp' Object
print.cmp               Print Values of COM-Poisson Model
rPIT                    Random Normal Probability Integral Transform
regression.diagnostic.cmp
                        CMP Regression Diagnostic
residuals.cmp           Extract COM-Poisson Model Residuals
sitophilus              Sitophilus data set
summary.cmp             Summarizing COM-Poisson Model Fit
takeoverbids            Takeover Bids data set
tidy.cmp                Tidy a(n) CMP model object
update.cmp              Update and Re-fit a COM-Poisson Model
vcov.cmp                Extracting the Variance-Covariance Matrix from
                        a COM-Poisson Model Fit
