logCknot: A Function to Calculate logC(delta) on Selected Knots

In NPP: Normalized Power Prior Bayesian Analysis

A Function to Calculate logC(\delta) on Selected Knots

Description

The function returns a sequence of the values, logC(\delta) on selected knots, given input vector of \delta.

Usage

logCknot(deltaknot, llikf0)

Arguments

deltaknot	a vector of the knots for \delta. It should be selected before conduct the sampling.
llikf0	a matrix of the log-likelihoods of class "npp".

Value

A sequence of the values, logC(\delta) on selected knots.

Author(s)

Zifei Han [e-mail]

References

Ibrahim, J.G., Chen, M.-H., Gwon, Y. and Chen, F. (2015). The Power Prior: Theory and Applications. Statistics in Medicine 34:3724-3749.

Duan, Y., Ye, K. and Smith, E.P. (2006). Evaluating Water Quality: Using Power Priors to Incorporate Historical Information. Environmetrics 17:95-106.

See Also

loglikNormD0; loglikBerD0; logCdelta

NPP documentation built on Sept. 18, 2023, 5:18 p.m.