Model-Averaged Renewal Process


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Documentation for package ‘marp’ version 0.1.1

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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
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