R: Model-Averaged Renewal Process

# Model-Averaged Renewal Process

## Documentation for package ‘marp’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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