Package BIP :: Package Bayes :: Module lhs
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Module lhs

source code

Functions [hide private]
 
lhsFromSample(sample, siz=100)
Latin Hypercube Sample from a set of values
source code
 
lhsFromDensity(kde, siz=100)
LHS sampling from a variables Kernel density estimate.
source code
 
lhs(dist, parms, siz=100)
Latin Hypercube sampling of any distrbution.
source code
Function Details [hide private]

lhsFromSample(sample, siz=100)

source code 
Latin Hypercube Sample from a set of values
Parameters:
  • sample - list, tuple of array
  • siz - Number or shape tuple for the output sample

lhsFromDensity(kde, siz=100)

source code 
LHS sampling from a variables Kernel density estimate.
Parameters:
  • kde - scipy.stats.kde.gaussian_kde object
  • siz - Number or shape tuple for the output sample

lhs(dist, parms, siz=100)

source code 
Latin Hypercube sampling of any distrbution. dist is is a scipy.stats random number generator such as stats.norm, stats.beta, etc parms is a tuple with the parameters needed for the specified distribution.
Parameters:
  • dist - random number generator from scipy.stats module.
  • parms - tuple of parameters as required for dist.
  • siz - number or shape tuple for the output sample