addBootSampleObject.renewal
                        Create a bootsrap sample for coefficient
                        estimates
dBivariateWeibullCountFrankCopula
                        Density and log-likelihood of the Bivariate
                        Frank Copula Weibull Count model
dCount_conv_bi          Compute count probabilities using convolution
                        (bi)
dCount_conv_loglik_bi   Log-likelihood of a count probability computed
                        by convolution (bi)
dCount_conv_user        Compute count probabilities using convolution
                        (user)
dRenewalFrankCopula_user
                        Bivariate Count probability Using Frank copula
                        (user)
dWeibullCount           wrapper to the weibull count probability
dWeibullgammaCount_loglik
                        wrapper to the weibull-gamma count
                        log-likelihood
dWeibullgammaCount_mat_Covariates
                        Univariate Weibull Count Probability with gamma
                        and covariate heterogeneity
dmodifiedCount_bi       Compute count probabilities based on modified
                        renewal process (bi)
dmodifiedCount_user     Compute count probabilities based on modified
                        renewal process (user)
evCount_conv_bi         renewal count expected value and variance (bi)
evCount_conv_user       renewal count expected value and variance
                        (user)
extractAIC.renewal      extractAIC method for class renewal
predict.renewal         Predict method for renewal objects
renewal                 Fit renewal count processes regression models
renewal.control         Creates the renewal control list
renewal.convPars        Creates the convolution inputs setting
renewal.seriesPars      Creates the series expansion inputs setting
renewal.weiMethod       Check weibull computation algorithm
renewal_methods         Methods for renewal objects
se.coef                 Extract Standard Errors of Model Coefficients
se.coef.renewal         Extract Standard Errors of Model Coefficients
surv                    wrapper to built in survival functions
