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R0 (version 1.2-4)

Estimation of R0 and real-time reproduction number from epidemics

Description

This package is designed to estimate reproduction numbers for disease outbreak, based on incidence data. It implements several documented methods. It is therefore possible to compare estimations according to the methods used. Depending on the methods requested by user, basic reproduction number (commonly denoted as R0) or real-time reproduction number (referred to as R(t)) is computed, along with a 95% Confidence Interval. Plotting outputs will give different graphs depending on the methods requested : basic reproductive number estimations will only show the epidemic curve (collected data) and an adjusted model, whereas real-time methods will also show the R(t) variations throughout the outbreak time period. Sensitivity analysis tools are also provided, and allow for investigating effects of varying Generation Time distribution or time window on estimates.

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Version

Install

install.packages('R0')

Monthly Downloads

497

Version

1.2-4

License

GPL (>= 2)

Maintainer

Thomas Obadia

Last Published

December 13th, 2013

Functions in R0 (1.2-4)

check.incid

Check incid in the input
print.R0.sR

Plot the R0/Rt value along with confidence interval of all requested models to epidemic data
estimate.R

Estimate R0 for one incidence dataset using several methods
smooth.Rt

Smooth real-time reproduction number over larger time period
plotRTD

Internal plot method for TD estimates
plotfitRAR

Internal plotfit method for AR estimates
sim.epid.indiv

Influenza-like illness simulation (individual-based model)
plotREG

Internal plot method for EG estimates
fit.epid

Compute the Poisson log - likelihood between epid and epidemic simulated with R and GT
Germany.1918

Germany.1918 exemple dataset
get.scale

Internal scaling function to display proper X-Axis labels
plotfit

Generic S3 method to plot either "R0.R" and "R0.sR" objects
sim.epid

Epidemic outbreak simulation
plot.R0.S

Plot objects from sensitivity.analysis
H1N1.serial.interval

H1N1 serial interval sample
plotfitRxx

Internal plotfit method for EG, ML and TD estimates
plot.R0.sR

Plot the R0/Rt value along with confidence interval of all requested models to epidemic data
sa.time

Sensitivity analysis of basic reproduction ratio to begin/end dates
est.R0.ML

Estimate the reproduction number by maximum likelihood
generation.time

Generation Time distribution
plotRSB

Internal plot method for SB estimates
plotfit.R0.R

Plot the fit of a model to epidemic data
print.R0.GT

Print the characteristics of the generation time distribution
est.R0.SB

Estimate the time dependent reproduction number using a Bayesian approach
fit.epid.optim

Joint estimation of GT distribution and R
plot.R0.R

Plot the R0/Rt value along with confidence interval
plotRML

Internal plot method for ML estimates
censored.deviation

Impute censored cases to rebuild longer epidemic vector
R0-package

Estimation of R0 and real-time reproduction number from epidemics
impute.incid

Optimiziation routine for incidence imputation
plotRAR

Internal plot method for AR estimates
integrity.checks

Input parameters integrity checks
plotfitRSB

Internal plot method for SB estimates
est.R0.TD

Estimate the time dependent reproduction number
sa.GT

Sensitivity analysis of reproduction ratio with varying GT distribution
sensitivity.analysis

Sensitivity analysis of basic reproduction ratio to begin/end dates
R.from.r

Compute the discretized Laplace Transform using a discretized Generation Time distribution
GT.chld.hsld

2009 A/H1N1 observed Generation Time distribution
est.R0.AR

Estimate R0 from attack rate of an epidemic
plotfit.R0.sR

Plot the fit of all requested models to epidemic data
est.R0.EG

Estimate R from exponential growth rate
plot.R0.GT

Print the characteristics of the generation time distribution
est.GT

Find the best-fitting GT distribution for a series of serial interval
print.R0.R

Print the R estimate