Model weights calculated based on AIC weights_BIC Returns list of point and interval estimation obtained from different renewal models (including model-averaged confidence intervals).Įstimated scale parameters (if applicable) of all six renewal models par2Įstimated shape parameters (if applicable) of all six renewal models logLīayesian information criterion (BIC) mu_hat User-specified generating (or true underlying if known) model User-specified time point (used to compute time-to-event probability) User-specified time intervals (used to compute hazard rate) Marp_confint(data, m, t, B, BB, alpha, y, which.model) weibull_rp: A function to fit Weibull renewal model #' Browse all.Ī function to apply model-averaged renewal process DescriptionĪ function to apply model-averaged renewal process.weibull_logl: A function to calculate the log-likelihood of Weibull model.weibull_bstrp: A function to generate (double) bootstrap samples and fit.upperT: An utility function to calculate lower limit of T statistic.student_confint: A function to calculate Studentized bootstrap confidence.poisson_rp: A function to fit Poisson renewal model.poisson_bstrp: A function to generate (double) bootstrap samples and fit.pllog: Probability function of Log-Logistics model.percent_confint: A function to calculate percentile bootstrap confidence.marp_confint: A function to apply model-averaged renewal process.marp_bstrp: A function to fit model-averaged renewal process.marp: A function to apply model-averaged renewal process.lowerT: An utility function to calculate upper limit of T statistic.lognorm_rp: A function to fit Log-Normal renewal model.lognorm_bstrp: A function to generate (double) bootstrap samples and fit.loglogis_rp: A function to fit Log-Logistics renewal model.loglogis_logl: A function to calculate the log-likelihood of Log-Logistics.loglogis_bstrp: A function to generate (double) bootstrap samples and fit.gamma_rp: A function to fit Gamma renewal model.gamma_logl: A function to calculate the log-likelihood of Gamma model.gamma_bstrp: A function to generate (double) bootstrap samples and fit.dllog: Density function of Log-Logistics model.bpt_rp: A function to fit BPT renewal model. ![]() bpt_logl: A function to calculate the log-likelihood of BPT model.bpt_bstrp: A function to generate (double) bootstrap samples and fit BPT.
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