Gibbs.Norm50: Gibbs sampling
In yfyang86/hamimc: Hybrid Monte Carlo
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Gibbs sampling for p dimension-Norm
Usage
1
Gibbs.Norm50(ITER = 10000, p = 50, chains = 4)
Arguments
ITER
Number of iterations
p
number of dimensions
chains
number of chains
Value
Gibbs.lst
returns a list contains chains of simulation result
Author(s)
Zhiheng Xie, Yifan Yang
Examples
1
2
3
4
#examples from Gibbs:
## Not run:
Gibbs.Norm50(1000)
## End(**Not run**)
yfyang86/hamimc documentation built on May 4, 2019, 2:32 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Gibbs sampling for p dimension-Norm
Usage
1 | Gibbs.Norm50(ITER = 10000, p = 50, chains = 4)
|
Arguments
ITER |
Number of iterations |
p |
number of dimensions |
chains |
number of chains |
Value
Gibbs.lst |
returns a list contains chains of simulation result |
Author(s)
Zhiheng Xie, Yifan Yang
Examples
1 2 3 4 | #examples from Gibbs:
## Not run:
Gibbs.Norm50(1000)
## End(**Not run**)
|
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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