plot.survFitPredict_Nsurv: Plotting method for `survFitPredict_Nsurv` objects.

Description

This is the generic plot S3 method for the survFitPredict_Nsurv. It plots the predicted survival probability for each concentration of the chemical compound in the provided dataset.

Usage

# S3 method for survFitPredict_Nsurv
plot(
  x,
  xlab = "Time",
  ylab = "Number of survivors",
  main = NULL,
  spaghetti = FALSE,
  one.plot = FALSE,
  mcmc_size = NULL,
  ...
)

Value

a plot of class ggplot

Arguments

x: An object of class survFitPredict_Nsurv.
xlab: A label for the \(X\)-axis, by default Time.
ylab: A label for the \(Y\)-axis, by default Survival probability.
main: A main title for the plot.
spaghetti: If TRUE, draws a set of survival curves using parameters drawn from the posterior distribution
one.plot: if TRUE, draws all the estimated curves in one plot instead of one plot per concentration.
mcmc_size: A numerical value refering by default to the size of the mcmc in object survFitPredict. This option is specific to survFitPredict objects for which computing time may be long. mcmc_size can be used to reduce the number of mcmc samples in order to speed up the computation.
...: Further arguments to be passed to generic methods.

Details

The fitted curves represent the predicted survival probability as a function of time for each concentration. The function plots both the 95% credible band and the predicted survival probability over time. If spaghetti = TRUE, the credible intervals are represented by two dotted lines limiting the credible band, and a spaghetti plot is added to this band. This spaghetti plot consists of the representation of simulated curves using parameter values sampled in the posterior distribution (10% of the MCMC chains are randomly taken for this sample).