| bpt_bstrp | A function to generate (double) bootstrap samples and fit BPT renewal model |
| bpt_logl | A function to calculate the log-likelihood of BPT model |
| bpt_rp | A function to fit BPT renewal model |
| coef.marp_model_fit | Extract parameters from a model-specific fit |
| confint.marp_fit | Confidence intervals for a model-averaged renewal-process fit |
| dllog | Density function of Log-Logistics model |
| gamma_bstrp | A function to generate (double) bootstrap samples and fit Gamma renewal model |
| gamma_logl | A function to calculate the log-likelihood of Gamma model |
| gamma_rp | A function to fit Gamma renewal model |
| logLik.marp_model_fit | Extract the log-likelihood from a model-specific fit |
| loglogis_bstrp | A function to generate (double) bootstrap samples and fit Log-Logistic renewal model |
| loglogis_logl | A function to calculate the log-likelihood of Log-Logistics model |
| loglogis_rp | A function to fit Log-Logistics renewal model |
| lognorm_bstrp | A function to generate (double) bootstrap samples and fit Log-Normal renewal model |
| lognorm_rp | A function to fit Log-Normal renewal model |
| lowerT | Evaluate the lower-limit equation for a model-averaged T statistic |
| marp | A function to apply model-averaged renewal process |
| marp_bstrp | A function to fit model-averaged renewal process |
| marp_confint | A function to apply model-averaged renewal process |
| nobs.marp_fit | Number of observations in a model-averaged fit |
| nobs.marp_model_fit | Number of observations in a model-specific fit |
| percent_confint | A function to calculate percentile bootstrap confidence interval |
| pllog | Probability function of Log-Logistics model |
| poisson_bstrp | A function to generate (double) bootstrap samples and fit Poisson renewal model |
| poisson_rp | A function to fit Poisson renewal model |
| print.marp_confint | Print a model-averaged confidence-interval result |
| print.marp_fit | Print a model-averaged renewal-process fit |
| print.marp_model_fit | Print a model-specific renewal-process fit |
| print.summary_marp_fit | Print a summary of a model-averaged renewal-process fit |
| print.summary_marp_model_fit | Print a summary of a model-specific renewal-process fit |
| student_confint | A function to calculate Studentized bootstrap confidence interval |
| summary.marp_fit | Summarise a model-averaged renewal-process fit |
| summary.marp_model_fit | Summarise a model-specific renewal-process fit |
| upperT | Evaluate the upper-limit equation for a model-averaged T statistic |
| weibull_bstrp | A function to generate (double) bootstrap samples and fit Weibull renewal model |
| weibull_logl | A function to calculate the log-likelihood of Weibull model |
| weibull_rp | A function to fit Weibull renewal model |