The MCMCcoupled class contains the results of a growth prediction
consider parameter variability based on a model
fitted using fit_coupled_growth()
It is a subclass of list with items:
sample: Parameter sample used for the calculations.
simulations: Individual growth curves calculated based on the parameter sample.
quantiles: Tibble with the limits of the credible intervals (5%, 10%, 50%, 90% and 95%) for each time point.
# S3 method for MCMCcoupled
plot(
x,
y = NULL,
...,
add_factor = NULL,
alpha_conf = 0.5,
fill_conf = "grey",
linetype_conf = 2,
linecol_conf = "grey45",
linetype_pred = 1,
alpha_pred = 0.5,
fill_pred = "grey",
linecol_pred = "grey45",
line_col = "black",
line_type = 1,
line_size = 0.5,
label_y = "logN",
label_x = "time"
)The object of class MCMCcoupled to plot.
ignored
ignored.
Includes the variation of one environmental factor in the plot. It must be one of the column names in x$env_conditions.
transparency of the ribbon for the confidence interval. .5 by default.
fill colour of the ribbon for the confidence interval. "grey" by default.
linetype for the line of the confidence interval. solid by default.
colour of the line for the confidence interval. "black" by default.
linetype for the line of the prediction interval. solid by default.
transparency of the ribbon for the prediction interval. .5 by default.
fill colour of the ribbon for the prediction interval. "grey" by default.
colour of the line for the prediction interval. "grey45" by default.
color of the line representing the median ("black" by default).
type for the line representing the median (solid by default).
size of the line representing the median. 1 by default.
label of the y axis. "logN" by default.
label for the x-label ("time" by default).
plot(MCMCcoupled): plot of predicted growth (prediction band).