| 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 |