print.bhrcr: Print Function for the Bayesian Clearance Estimator

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

Description

print.bhrcr prints the estimated effect of covariates on both log clearance rates and log half-lives.

Usage

## S3 method for class 'bhrcr'
print(x, ...)

Arguments

x	an object of class bhrcr, given by clearanceEstimatorBayes.
...	additional parameters.

Details

This function prints the posterior mean value of gamma, which represents the effect of covariates on log clearance rates. It also prints the estimated impact of covariates on log half-lives.

Value

the input object is returned silently.

Author(s)

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

Examples

data("posterior")
print(posterior)


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

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