wlda: Implements weighted likelihood estimation for LDA
In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
wlda R Documentation
Implements weighted likelihood estimation for LDA
Description
Implements weighted likelihood estimation for LDA
Usage
wlda(a, w)
Arguments
a
is the data set
w
is an indicator matrix for the K classes or, potentially, a weight matrix in which the fraction with which a sample belongs to a particular class is indicated
Value
m contains the means, p contains the class priors, iW contains the INVERTED within covariance matrix
RSSL documentation built on May 29, 2024, 2:38 a.m.
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| wlda | R Documentation |
Implements weighted likelihood estimation for LDA
Description
Implements weighted likelihood estimation for LDA
Usage
wlda(a, w)
Arguments
a |
is the data set |
w |
is an indicator matrix for the K classes or, potentially, a weight matrix in which the fraction with which a sample belongs to a particular class is indicated |
Value
m contains the means, p contains the class priors, iW contains the INVERTED within covariance matrix
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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