transplantpost: Log posterior of a Pareto model for survival data
In bayesball/LearnBayes: Learning Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Computes the log posterior density of (log tau, log lambda, log p) for a Pareto
model for survival data
Usage
1
transplantpost(theta,data)
Arguments
theta
vector of parameter values of log tau, log lambda, and log p
data
data matrix with columns survival time, transplant indicator, time to transplant, and
censoring indicator
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1
2
3
data(stanfordheart)
theta=c(0,3,-1)
transplantpost(theta,stanfordheart)
bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Computes the log posterior density of (log tau, log lambda, log p) for a Pareto model for survival data
Usage
1 | transplantpost(theta,data)
|
Arguments
theta |
vector of parameter values of log tau, log lambda, and log p |
data |
data matrix with columns survival time, transplant indicator, time to transplant, and censoring indicator |
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1 2 3 | data(stanfordheart)
theta=c(0,3,-1)
transplantpost(theta,stanfordheart)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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