exponential_sampling: Exponential sampling
In pengminshi/MRtree: Multi-resolution Reconciled Tree
exponential_sampling R Documentation
Exponential sampling
Description
Sample resolutions in exponential scale (sparser for larger values)
Usage
exponential_sampling(n.res, res.min = 0.001, res.max = 3, base = 2)
Arguments
n.res
integer, number of resolutions to sample
res.min
scalar, lower bound
res.max
scalar, upper bound
base
base of the exponential scale (default 2)
Value
a vector of sampled parameters
pengminshi/MRtree documentation built on March 6, 2023, 4:20 p.m.
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| exponential_sampling | R Documentation |
Exponential sampling
Description
Sample resolutions in exponential scale (sparser for larger values)
Usage
exponential_sampling(n.res, res.min = 0.001, res.max = 3, base = 2)
Arguments
n.res |
integer, number of resolutions to sample |
res.min |
scalar, lower bound |
res.max |
scalar, upper bound |
base |
base of the exponential scale (default 2) |
Value
a vector of sampled parameters
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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