mapEst: Compute MAP estimate
In shariq-mohammed/SpikeSlabEEG: Bayesian Variable Selection for EEG Data
Description
Usage
Arguments
Examples
Description
Given a sequence of MCMC samples this function computes the MAP estimate of the posterior distribution.
Usage
1
mapEst(chain, burnin = 0, thin = 1)
Arguments
chain
sequence of MCMC samples
burnin
Number of initial samples to drop
thin
Number of samples to be dropped between two consecutive selections in the chain
Examples
1
mapEst()
shariq-mohammed/SpikeSlabEEG documentation built on July 21, 2020, 12:17 a.m.
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.
Description Usage Arguments Examples
Description
Given a sequence of MCMC samples this function computes the MAP estimate of the posterior distribution.
Usage
1 | mapEst(chain, burnin = 0, thin = 1)
|
Arguments
chain |
sequence of MCMC samples |
burnin |
Number of initial samples to drop |
thin |
Number of samples to be dropped between two consecutive selections in the chain |
Examples
1 | mapEst()
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.