R: A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters

# A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters

## Documentation for package ‘EpiLPS’ version 1.3.0

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

## Help Pages

cov19incidence2022 | Incidence data for Belgium in 2022
cov19mort2021 | Mortality data for Belgium in 2021
epicurve | Plot the epidemic curve
episim | Simulation of an incidence time series
eruptions | Eruption times in Yellowstone National Park
estimIncub | Estimation of the incubation density based on coarse data
estimR | Estimation of the reproduction number with Laplacian-P-splines
estimRmcmc | Estimation of the reproduction number with Laplacian-P-splines via MCMC
histosmooth | Histogram smoothing with Laplacian-P-splines
Idist | Density function and discrete distribution for a disease interval
incubsim | Simulation of incubation times
influenza2009 | Data on the 2009 pandemic influenza in Pennsylvania
nowcasting | Nowcasting and estimation of occurred but not yet reported events
nowcastingR | Nowcasting the reproduction number
perfRestim | Routine to measure the performance of estimR and estimRmcmc
plot.Idist | Plot the interval distribution from an Idist object
plot.incubestim | Plot the estimated incubation distribution
plot.nowcasted | Plot of nowcasted cases and delay distribution
plot.Rt | Plot the estimated reproduction number
plot.Rtnow | Plot the nowcasted reproduction number
Rmodelpriors | Prior specification for model hyperparameters
sars2003 | Daily incidence of the 2003 SARS epidemic in Hong Kong
summary.Rt | Summarize the estimated reproduction number
zika2015 | Data on the 2015 Zika virus disease in Colombia