Description Usage Arguments Value Examples
View source: R/VONF_MPG_DA_POSTERIOR_V1.5.R
Fits a Data Augmentation algorithm for Vonmises Distribution in general dimension Generates MCMC samples from Posterior of mode and concentration parameter.
1 | VONF_3D_MPG_DA_POSTERIOR(Y, kappa_start = NULL, MCSamplerSize = 5000, K = 100)
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Y: |
n\times 3 matrix containing n directional data of dimension 3. norm of each row of the matrix Y is 1. |
kappa_start: |
A positive number, starting value for the MCMC algorithm. If set NUll the Default procedure to get the initial value will be used. |
MCSamplerSize: |
Number of MCMC samples required to be generated. |
MCMC samples from for Posterior of mode and concentration parameter of Vonmises distribution.
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