ifa.predict: A function to predict the latent variables
In ifa: Independent Factor Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Description
A function to compute the reconstructed factors.
Usage
1
ifa.predict(y, output, method = "lms")
Arguments
y
The data matrix for which factor reconstructions are desired
output
The result of a call to ifa.em
method
The method for reconstructing the factors
Details
The function reconstructs the factor scores by different methods: "bartlett", "thompson"
or "lms" (least mean squares). The default is "lms".
Value
A matrix with factors in columns.
Author(s)
Cinzia Viroli
ifa documentation built on May 2, 2019, 1:07 p.m.
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Description Usage Arguments Details Value Author(s)
Description
A function to compute the reconstructed factors.
Usage
1 | ifa.predict(y, output, method = "lms")
|
Arguments
y |
The data matrix for which factor reconstructions are desired |
output |
The result of a call to ifa.em |
method |
The method for reconstructing the factors |
Details
The function reconstructs the factor scores by different methods: "bartlett", "thompson"
or "lms" (least mean squares). The default is "lms".
Value
A matrix with factors in columns.
Author(s)
Cinzia Viroli
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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