rwMetropolisC: A random walk Metropolis sampler using Rcpp
In sc19011/sc19011: Functions for 'Statistical Computing' course assignment
Description
Usage
Arguments
Value
Examples
Description
Implement a random walk Metropolis sampler for generating the standard Laplace distribution using Rcpp
Usage
1
rwMetropolisC(sigma, x0, N)
Arguments
sigma
parameter for produces a normal distribution random sample
x0
Initial value
N
the number of samples
Value
a random sample of size n
Examples
1
2
3
4
5
6
## Not run:
sigma <- c(.05, .5, 2, 16)
x0 <- 25
rw1c <- rwMetropolisC(sigma[1], x0, N)
## End(Not run)
sc19011/sc19011 documentation built on Jan. 3, 2020, 12:16 a.m.
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Description Usage Arguments Value Examples
Description
Implement a random walk Metropolis sampler for generating the standard Laplace distribution using Rcpp
Usage
1 | rwMetropolisC(sigma, x0, N)
|
Arguments
sigma |
parameter for produces a normal distribution random sample |
x0 |
Initial value |
N |
the number of samples |
Value
a random sample of size n
Examples
1 2 3 4 5 6 | ## Not run:
sigma <- c(.05, .5, 2, 16)
x0 <- 25
rw1c <- rwMetropolisC(sigma[1], 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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