estimateB: ML Estimation of Laplace Beta
In LCA: Localised Co-Dependency Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Description
Estimates initial value of parameter Beta from the PTL distribution used in LCA analysis.
Usage
1
estimateB(x)
Arguments
x
Numeric vector of differences between the values of each feature, for a pair of objects in the dataset.
Details
Calculates maximum-likelihood estimate for Beta in the Laplace distribution fit to distribution of x.
Value
Numeric value for initial estimate of PTL distribution parameter Beta
Author(s)
Ed Curry e.curry@imperial.ac.uk
LCA documentation built on May 2, 2019, 8:26 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Estimates initial value of parameter Beta from the PTL distribution used in LCA analysis.
Usage
1 | estimateB(x)
|
Arguments
x |
Numeric vector of differences between the values of each feature, for a pair of objects in the dataset. |
Details
Calculates maximum-likelihood estimate for Beta in the Laplace distribution fit to distribution of x.
Value
Numeric value for initial estimate of PTL distribution parameter Beta
Author(s)
Ed Curry e.curry@imperial.ac.uk
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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