parameters_credible_intervals: Analyse a FOIfit

In nathoze/Rsero: Estimate the annual force of infection using serological data

Analyse a FOIfit

Description

Determines the mean and quantiles of the parameters estimated in the fit. By default, it returns the mean, the median and 95 % credible interval of the parameters.

Usage

parameters_credible_intervals(FOIfit, quants = c(0.025, 0.5, 0.975))

Arguments

FOIfit	An object of the class FOIfit.
quants	Numeric. Contains the list of the estimated quantiles given between 0 and 1. Default parameters are the 2.5%, 50 % and 97.5 % quantiles given by quants = c(0.025,0.5,0.975).

Value

A dataframe containing the 2.5 In the case of an outbreak model (outbreak or outbreak+constant), the total force of infection is given by alpha, and the probability of infection by "Outbreak Prob. Inf.". For models with constant phases, the annual probability of infection is given.

Author(s)

Nathanael Hoze [e-mail]

Examples

  
 data("1peakSimulation")
 model <- FOImodel(type='outbreak', seroreversion=TRUE, K=1)
 options(mc.cores = parallel::detectCores())
 Fit <- fit(data = data, model = model)
 parameters_credible_intervals(Fit)

# an example where other quantiles are specified
 data("1peakSimulation")
 model <- FOImodel(type='outbreak', seroreversion=TRUE, K=1)
 options(mc.cores = parallel::detectCores())
 Fit <- fit(data = data, model = model)
 parameters_credible_intervals(Fit, quants=c(0.25,0.5,0.75))

nathoze/Rsero documentation built on Dec. 1, 2024, 6:39 p.m.