suq2.fit.gldFitParallel: Fit the GLD to a multidimensional array in parallel.
In nmlemus/suq2:
Description
Usage
Arguments
Author(s)
Examples
Description
This function compute the GLD that best fit each distribution on each spatial location.
Usage
1
suq2.fit.gldFitParallel(nodes, dimension, mArray)
Arguments
nodes
number of nodes to be used in the computation.
dimension
the dimensions to be used, NxMxS.
mArray
a multidimentional array with dimensions @param dimension
Author(s)
Noel Moreno Lemus
Examples
1
2
mArray <- createDataset(directory, pattern, dimension)
result <- suq2.fit.gldFitParallel(4, dimension = c(60, 60), mArray = mArray)
nmlemus/suq2 documentation built on May 30, 2019, 5 a.m.
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Description Usage Arguments Author(s) Examples
Description
This function compute the GLD that best fit each distribution on each spatial location.
Usage
1 | suq2.fit.gldFitParallel(nodes, dimension, mArray)
|
Arguments
nodes |
number of nodes to be used in the computation. |
dimension |
the dimensions to be used, NxMxS. |
mArray |
a multidimentional array with dimensions @param dimension |
Author(s)
Noel Moreno Lemus
Examples
1 2 | mArray <- createDataset(directory, pattern, dimension)
result <- suq2.fit.gldFitParallel(4, dimension = c(60, 60), mArray = mArray)
|
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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