pesel_heterogeneous: PEnalized SEmi-integrated Likelihood for heterogeneous...
In pesel: Automatic Estimation of Number of Principal Components in PCA
pesel_heterogeneous R Documentation
PEnalized SEmi-integrated Likelihood for heterogeneous singular values and
large number of variables
Description
Derived under assumption that number of variables tends to infinity
while number of observations is limited.
Usage
pesel_heterogeneous(X, minK, maxK)
Arguments
X
a matrix containing only continuous variables
minK
minimal number of principal components fitted
maxK
maximal number of principal components fitted
Value
numeric vector, PESEL criterion for each k in range [minK, maxK]
pesel documentation built on Oct. 17, 2023, 5:14 p.m.
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| pesel_heterogeneous | R Documentation |
PEnalized SEmi-integrated Likelihood for heterogeneous singular values and large number of variables
Description
Derived under assumption that number of variables tends to infinity while number of observations is limited.
Usage
pesel_heterogeneous(X, minK, maxK)
Arguments
X |
a matrix containing only continuous variables |
minK |
minimal number of principal components fitted |
maxK |
maximal number of principal components fitted |
Value
numeric vector, PESEL criterion for each k in range [minK, maxK]
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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