plot.bhrcr: Bayesian Clearance Estimator Plotting

In bhrcr: Bayesian Hierarchical Regression on Clearance Rates in the Presence of Lag and Tail Phases

Description

plot.bhrcr plots the posterior results from clearanceEstimatorBayes.

Usage

## S3 method for class 'bhrcr'
plot(x, plot.post = T, id.plot = NULL, thin = NULL,
  ...)

Arguments

x	output given by clearanceEstimatorBayes
plot.post	indicator of whether or not the posterior samples should be plotted
id.plot	patients' IDs
thin	an optional vector showing which posterior samples to be plotted
...	additional arguments passed to the plot.bhrcr function

Details

This function plots clearance profile of each individual along with their fitted Bayesian model, Flegg's PCE estimates, and posterior samples.

Value

the directory location under which all the plots are saved.

Author(s)

Colin B. Fogarty <[e-mail]>, Saeed Sharifi-Malvajerdi <[e-mail]>, Feiyu Zhu <[e-mail]>

Examples

data("posterior")
plot(posterior)


data("pursat")
data("pursat_covariates")
out <- clearanceEstimatorBayes(data = pursat, covariates = pursat_covariates, 
                               niteration = 200, burnin = 50, thin = 10)
plot(out)

bhrcr documentation built on May 1, 2019, 8:41 p.m.