Model visualization

library(serosv)

Visualize model

To visualize the model, user can simply use function plot

hav <- hav_be_1993_1994
model <- fp_model(
  hav,
  p=c(1.5, 1.6), link="cloglog")
plot(model)

If implementation for confidence interval calculation is not yet available, plot function would simply visualize seroprevalence line

rubella <- rubella_uk_1986_1987

farrington_md <- farrington_model(
   rubella,
   start=list(alpha=0.07,beta=0.1,gamma=0.03)
   )
plot(farrington_md)

Customize the plot

Function set_plot_style() is provided to customize some attributes of the plot.

Current modifiable attributes include color, linetype for seroprevalence, foi and fill color for confidence interval

gf_model <- polynomial_model(hav_bg_1964, type = "Griffith")

# customize plot
plot(gf_model) +
  set_plot_style(
    sero = "#3de071",
    foi = "#2f22e0",
    ci = "#aaf2b2",
    foi_line = "dotted", 
    sero_line = "dotdash"
  )
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.
#> Scale for linetype is already present.
#> Adding another scale for linetype, which will replace the existing scale.
#> Scale for fill is already present.
#> Adding another scale for fill, which will replace the existing scale.