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| COM-PoissonReg-package | estimate parameters for COM-Poisson regression |
| chisq | Chi-square statistic |
| chisq.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| CMP.MSE | COM-Poisson Mean-squared Error |
| CMPDeviance | CMP Deviance |
| CMPLeverage | Computes leverage for each record |
| CMPParamBoot | Parametric COM-Poisson Bootstrap |
| CMPStdErrors | Standard Errors Associated With COM-Poisson Estimates |
| COM-PoissonReg | estimate parameters for COM-Poisson regression |
| COMPoissonReg | estimate parameters for COM-Poisson regression |
| ComputeBetasAndNuHat | Estimate COM-Poisson parameters (betas and nu) |
| constantCMPfitsandresids | Determining COM-Poisson Fitted Values and Residuals |
| deviance.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| freight | Freight dataset |
| leverage | Leverage |
| leverage.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| LRT | Likelihood ratio test for statistically significant dispersion |
| makeCMPdata | Create Simulated COM-Poisson Data |
| nu | Estimate for nu |
| nu.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| parametric_bootstrap | Parametric Bootstrap |
| parametric_bootstrap.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| predict.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| pval | P-value |
| pval.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| residuals.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |
| sdev | Standard deviations |
| sdev.cmp | Functions to estimate COM-Poisson model parameters (betas and nu) |