calibrateSmc: A data set resulting from calibrating the number of particles...

In sbfnk/fitR: Tool box for fitting dynamic infectious disease models to time series

A data set resulting from calibrating the number of particles in a particleFilter to estimate the likelihood of the stochastic SEIT4L model to the influenza outbreak on Tristan da Cunha

Description

A dataset containing the results of an attempt to calibrate the number of particles to be used in estimating the likelihood when fitting the 'seit4lStoch' model to the 'fluTdc1971' dataset. Estimates were obtained using 100 replicates of the estimation procedure.

Format

A data frame with 11 rows and 5 columns describing the results of the calibration procedure

Details

• nParticles number of particles

• mean mean estimated likelihood

• sd standard deviation of the estimated likelihood

• propDepleted proportion of particles depleted

• days number of days the 100 replicated took to estimate

sbfnk/fitR documentation built on July 18, 2023, 3:28 p.m.