Package: marp 0.1.1

Veronica Tsou

marp: Model-Averaged Renewal Process

To implement a model-averaging approach with different renewal models, with a primary focus on forecasting large earthquakes. Based on six renewal models (i.e., Poisson, Gamma, Log-Logistics, Weibull, Log-Normal and BPT), model-averaged point estimates are calculated using AIC weights. Additionally, both percentile and studentized bootstrapped model-averaged confidence intervals are constructed. In comparison, point and interval estimation from the individual or "best" model (determined via model selection) can be retrieved.

Authors:Jie Kang [aut], Chris Scott [aut], Vanessa Huang [aut], Veronica Tsou [aut, cre], Albert Savary [ctb]

marp_0.1.1.tar.gz
marp_0.1.1.zip(r-4.7-any)marp_0.1.1.zip(r-4.6-any)marp_0.1.1.zip(r-4.5-any)
marp_0.1.1.tgz(r-4.6-any)marp_0.1.1.tgz(r-4.5-any)
marp_0.1.1.tar.gz(r-4.7-any)marp_0.1.1.tar.gz(r-4.6-any)
marp_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
marp/json (API)

# Install 'marp' in R:

install.packages('marp', repos = c('https://kanji709.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kanji709/marp/issues

On CRAN:

4.95 score 1 stars 6 scripts 320 downloads 25 exports 3 dependencies

Last updated from:cc24bf6fb5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	192
source / vignettes	OK	199
linux-release	OK	153
macos-release	OK	123
macos-oldrel	OK	175
windows-devel	OK	110
windows-release	OK	84
windows-oldrel	OK	72
wasm-release	OK	120

Exports:bpt_bstrp bpt_logl bpt_rp dllog gamma_bstrp gamma_logl gamma_rp loglogis_bstrp loglogis_logl loglogis_rp lognorm_bstrp lognorm_rp lowerT marp marp_bstrp marp_confint percent_confint pllog poisson_bstrp poisson_rp student_confint upperT weibull_bstrp weibull_logl weibull_rp

Dependencies:gtools statmod VGAM

A workflow for model-averaged renewal-process inference with marp

Rendered frommarp-workflow.Rmdusingknitr::rmarkdown

Last update: 2026-08-22
Started: 2026-08-21

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

Package: marp 0.1.1

marp: Model-Averaged Renewal Process

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