StochasticGrowth: StochasticGrowth class

Description

The StochasticGrowth class contains the results of a growth prediction under isothermal conditions considering parameter unceratinty. Its constructor is predict_stochastic_growth.

It is a subclass of list with the items:

sample: parameter sample used for the calculations.
simulations: growth curves predicted for each parameter.
quantiles: limits of the credible intervals (5 each time point.
model: Model used for the calculations.
mus: Mean parameter values used for the simulations.
sigma: Variance-covariance matrix used for the simulations.

Usage

# S3 method for StochasticGrowth
plot(
  x,
  y = NULL,
  ...,
  line_col = "black",
  line_size = 0.5,
  line_type = "solid",
  ribbon80_fill = "grey",
  ribbon90_fill = "grey",
  alpha80 = 0.5,
  alpha90 = 0.4
)

Arguments

The object of class StochasticGrowth to plot.

ignored

...

ignored.

line_col

Aesthetic parameter to change the colour of the line geom in the plot, see: geom_line

line_size

Aesthetic parameter to change the thickness of the line geom in the plot, see: geom_line

line_type

Aesthetic parameter to change the type of the line geom in the plot, takes numbers (1-6) or strings ("solid") see: geom_line

ribbon80_fill

fill colour for the space between the 10th and 90th quantile, see: geom_ribbon

ribbon90_fill

fill colour for the space between the 5th and 95th quantile, see: geom_ribbon

alpha80

transparency of the ribbon aesthetic for the space between the 10th and 90th quantile. Takes a value between 0 (fully transparant) and 1 (fully opaque)

alpha90

transparency of the ribbon aesthetic for the space between the 5th and 95th quantile. Takes a value between 0 (fully transparant) and 1 (fully opaque).

Functions

plot.StochasticGrowth: Growth prediction (prediction band) considering parameter uncertainty.