objfc.norm2: create an objective function which computes the distance...
In tlamadon/mopt: Parallel Derivative-free Moment Estimation
Description
Usage
Arguments
Examples
Description
create an objective function which computes
the distance between simulated means and true means
Usage
1
objfc.norm2(mu = c(0, 0), sigma = diag(2), ns = 50, failp = 0)
Arguments
norm_mean
2d vector with the true mean
sample_size
number of random draws to compute distance
Examples
1
2
myfunc <- objfc.norm2(c(0,0))
myfunc(list(m1=0,m2=0))
tlamadon/mopt documentation built on May 31, 2019, 3:48 p.m.
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Description Usage Arguments Examples
Description
create an objective function which computes the distance between simulated means and true means
Usage
1 | objfc.norm2(mu = c(0, 0), sigma = diag(2), ns = 50, failp = 0)
|
Arguments
norm_mean |
2d vector with the true mean |
sample_size |
number of random draws to compute distance |
Examples
1 2 | myfunc <- objfc.norm2(c(0,0))
myfunc(list(m1=0,m2=0))
|
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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