summary.dcm: Summary Model Statistics

In EpiModel: Mathematical Modeling of Infectious Disease Dynamics

Summary Model Statistics

Description

Extracts and prints model statistics solved with dcm.

Usage

## S3 method for class 'dcm'
summary(object, at, run = 1, digits = 3, ...)

Arguments

object	An EpiModel object of class dcm.
at	Time step for model statistics.
run	Model run number, for dcm class models with multiple runs (sensitivity analyses).
digits	Number of significant digits to print.
...	Additional summary function arguments (not used).

Details

This function provides summary statistics for the main epidemiological outcomes (state and transition size and prevalence) from a dcm model. Time-specific summary measures are provided, so it is necessary to input a time of interest. For multiple-run models (sensitivity analyses), input a model run number. See examples below.

See Also

dcm

Examples

## Deterministic SIR model with varying act.rate
param <- param.dcm(inf.prob = 0.2, act.rate = 2:4, rec.rate = 1/3,
                   a.rate = 0.011, ds.rate = 0.01,
                   di.rate = 0.03, dr.rate = 0.01)
init <- init.dcm(s.num = 1000, i.num = 1, r.num = 0)
control <- control.dcm(type = "SIR", nsteps = 50)
mod <- dcm(param, init, control)
summary(mod, at = 25, run = 1)
summary(mod, at = 25, run = 3)
summary(mod, at = 26, run = 3)

EpiModel documentation built on July 9, 2023, 5:21 p.m.