plot.BayesFBHborrow {BayesFBHborrow}

Plot the MCMC results

Description

S3 object which produces predictive probabilities of the survival, hazard, and hazard ratio for a given set of predictors

Usage

## S3 method for class 'BayesFBHborrow'
plot(x, x_lim, x_pred = NULL, ...)

Arguments

x

object of class "BayesFBHborrow" to be visualized

x_lim

x-axis to be used for plot, set to NULL to use default from MCMC sampling

x_pred

vector of chosen predictors

...

other plotting arguments, see .plot_matrix() for more information

Value

nested list of 'plots' (posterior predictive hazard, survival, and hazard ratio) as well as their samples.

Examples

data(weibull_cc, package = "BayesFBHborrow")

# Set your tuning parameters
tuning_parameters <- list("Jmax" = 5,
                          "pi_b" = 0.5,
                          "cprop_beta" = 0.5)
                          
# run the MCMC sampler
out <- BayesFBHborrow(weibull_cc, NULL, tuning_parameters = tuning_parameters,
                      iter = 3, warmup_iter = 1)

# for the treatment group
plots <- plot(out$out, out$out$time_grid, x_pred = c(1))