Model-Averaged Renewal Process

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Documentation for package ‘marp’ version 0.1.0

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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
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
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 An utility function to calculate upper limit of 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
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
student_confint A function to calculate Studentized bootstrap confidence interval
upperT An utility function to calculate lower limit of 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 #' @import weibull_logl