VONF_2D_DW_SLICE: The functon is a implementation of the Slice sampling...
In subhadippal2019/BVNF:
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
The functon is a implementation of the Slice sampling algorithm
to conduct Bayesian inference of circular data.
Usage
1
VONF_2D_DW_SLICE(Y, MCSamplerSize = 100, kappa_start = NULL)
Arguments
Y:
n X 3 matrix containing n directional data of dimension d.
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.
Value
MCMC samples from for mode and concentration parameter of Vonmises distribution.
Author(s)
S. Pal, subhadip.pal@louisville.edu
References
[1] Damien, P., & Walker, S. (1999). A full Bayesian analysis of circular data
using the von Mises distribution.
The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 291-298.
Examples
1
2
3
library(Rfast)
data = rvmf(n =10, mu=c(1,0,0),k = 10)
lst_DW=VONF_2D_DW_SLICE(Y, MCSamplerSize=1000)
subhadippal2019/BVNF documentation built on March 12, 2021, 10:05 p.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 Value Author(s) References Examples
Description
The functon is a implementation of the Slice sampling algorithm to conduct Bayesian inference of circular data.
Usage
1 | VONF_2D_DW_SLICE(Y, MCSamplerSize = 100, kappa_start = NULL)
|
Arguments
Y: |
n X 3 matrix containing n directional data of dimension d. 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. |
Value
MCMC samples from for mode and concentration parameter of Vonmises distribution.
Author(s)
S. Pal, subhadip.pal@louisville.edu
References
[1] Damien, P., & Walker, S. (1999). A full Bayesian analysis of circular data using the von Mises distribution. The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 291-298.
Examples
1 2 3 | library(Rfast)
data = rvmf(n =10, mu=c(1,0,0),k = 10)
lst_DW=VONF_2D_DW_SLICE(Y, MCSamplerSize=1000)
|
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.