Metropolis: A random walk Metropolis sampler
In Jinshuyue98/SC190: Final homework for 'Statistical Computing' course
Description
Usage
Arguments
Value
Examples
Description
A random walk Metropolis sampler for generating the standard Laplace distribution
Usage
1
Metropolis(sigma, x0, N)
Arguments
x0:
the initial point(double)
sigma:
the standard deviation in the normal distribution(double)
N:
the length of the chain(int)
Value
a random sample of size N
Examples
1
2
3
4
5
6
7
## Not run:
N<-100
sigma<-1
x0<-0
Metropolis(sigma,x0,N)
## End(Not run)
Jinshuyue98/SC190 documentation built on Jan. 3, 2020, 12:07 a.m.
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Description Usage Arguments Value Examples
Description
A random walk Metropolis sampler for generating the standard Laplace distribution
Usage
1 | Metropolis(sigma, x0, N)
|
Arguments
x0: |
the initial point(double) |
sigma: |
the standard deviation in the normal distribution(double) |
N: |
the length of the chain(int) |
Value
a random sample of size N
Examples
1 2 3 4 5 6 7 | ## Not run:
N<-100
sigma<-1
x0<-0
Metropolis(sigma,x0,N)
## 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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