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Summary Model Statistics

Source: R/summary.R
summary.icm.Rd

Extracts and prints model statistics simulated with icm.

Usage

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

Arguments

object

An EpiModel object of class icm.

at

Time step for model statistics.

digits

Number of significant digits to print.

...

Additional summary function arguments.

Details

This function provides summary statistics for the main epidemiological outcomes (state and transition size and prevalence) from an icm model. Time-specific summary measures are provided, so it is necessary to input a time of interest.

See also

icm()

Examples

## Stochastic ICM SI model with 3 simulations
param <- param.icm(inf.prob = 0.2, act.rate = 1)
init <- init.icm(s.num = 500, i.num = 1)
control <- control.icm(type = "SI", nsteps = 50,
                       nsims = 5, verbose = FALSE)
mod <- icm(param, init, control)
summary(mod, at = 25)
#> EpiModel Summary
#> =======================
#> Model class: icm
#> 
#> Simulation Details
#> -----------------------
#> Model type: SI
#> No. simulations: 5
#> No. time steps: 50
#> No. groups: 1
#> 
#> Model Statistics
#> ------------------------------
#> Time: 25 
#> ------------------------------ 
#>            mean      sd    pct
#> Suscept.  448.8  60.648  0.896
#> Infect.    52.2  60.648  0.104
#> Total     501.0   0.000  1.000
#> S -> I      9.6   8.792     NA
#> ------------------------------ 
summary(mod, at = 50)
#> EpiModel Summary
#> =======================
#> Model class: icm
#> 
#> Simulation Details
#> -----------------------
#> Model type: SI
#> No. simulations: 5
#> No. time steps: 50
#> No. groups: 1
#> 
#> Model Statistics
#> ------------------------------
#> Time: 50 
#> ------------------------------ 
#>            mean      sd    pct
#> Suscept.   84.0  66.667  0.168
#> Infect.   417.0  66.667  0.832
#> Total     501.0   0.000  1.000
#> S -> I     13.6  10.877     NA
#> ------------------------------