# Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression

## Documentation for package ‘mpcmp’ version 0.3.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

mpcmp-package | Mean-parametrized Conway-Maxwell Poisson Regression
AIC.cmp | Akaike's Information Criterion
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
CBIND | Combine R Objects by Columns
cmplrtest | Likelihood Ratio Test for nested COM-Poisson models
coef.cmp | Extract Model Coefficients from a COM-Poisson Model Fit
compnormRandPIT | Random Normal Probability Integral Transform
compPIT | Non-randomized Probability Integral Transform
compPredProb | Non-randomized Probability Integral Transform
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_lambdas_fixed_ub | Solve for Lambda for a Particular Mean Parametrized COM-Poisson Distribution
comp_means | Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mean_logfactorialy | Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mean_ylogfactorialy | Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mu_loglik | Calculate the Log-Likelihood of the COM-Poisson model
comp_mu_neg_loglik_log_nu_only | Calculate the Log-Likelihood of the COM-Poisson model
comp_variances | Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_variances_logfactorialy | Functions to Compute Various Expected Values for the COM-Poisson Distribution
COM_Poisson_Distribution | The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
confint.cmp | Confidence Intervals for CMP Model Parameters
cooks.distance.cmp | CMP Regression Diagnostic
cottonbolls | Cotton Bolls data set
dcomp | The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
fish | Fish data set
fitted.cmp | Extract Fitted Values from a COM-Poisson Model Fit
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.
getnu | Parameter Generator for nu
gg_histcompPIT | ggplot version of PIT Plots for a CMP Object
gg_plot | Plot Diagnostic for a 'glm.cmp' Object in ggplot style
gg_qqcompPIT | ggplot version of PIT Plots for a CMP Object
glance.cmp | Glance at a(n) CMP model object
glm.cmp | Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model
hatvalues.cmp | CMP Regression Diagnostic
histcompPIT | PIT Plots for a CMP Object
influence.cmp | CMP Regression Diagnostic
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.
LRTnu | Likelihood Ratio Test for nu = 1 of a COM-Poisson model
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 | 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
pcomp | The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
PIT_ggPlot | ggplot version of PIT Plots for a CMP Object
PIT_Plot | PIT Plots for a CMP Object
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
print.logLik.cmp | Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit
print.summary.cmp | Summarizing COM-Poisson Model Fit
qcomp | The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
qqcompPIT | PIT Plots for a CMP Object
rcomp | The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
regression.diagnostic.cmp | CMP Regression Diagnostic
residuals.cmp | Extract COM-Poisson Model Residuals
rPIT | Random Normal Probability Integral Transform
rstandard.cmp | CMP Regression Diagnostic
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
Z | Calculate the Normalizing Constant for COM-Poisson distribution