Description Objects from the Class Slots Methods Author(s) Examples
A Dependency model for one or two data sets
Returned by fit.dependency.model
, ppca
,
pfa
, and pcca
functions.
a list of X, Y and total components containing the relationship between two data sets; for dependency model for one dataset, only total is given
a list of X, Y and total components containing the data set specific covariances; for dependency model for one dataset, only total is given
score for fitness of model
name of the used method
list of parameters used in dependency model
The data used to calculate the dependency model
The latent variable Z
signature(model = "DependencyModel")
: Returns a list of model variable W
s X
, Y
and total
component
signature(model = "DependencyModel")
: Returns a list of model variable phi
s X
and Y
and total
component
signature(model = "DependencyModel")
: Returns the dependency score of model
signature(model = "DependencyModel")
: Returns a list of used parameters for the method
signature(model = "DependencyModel")
: Returns the name of the used method
signature(model = "DependencyModel")
: Returns the size of window
signature(model = "DependencyModel", X = "numeric", Y = "numeric")
: Returns the latent variable z.
Arguments X
and Y
are needed only when the dependency model is calculated without calculating the latent
variable and the original data is not included with the model (arguments calculateZ = FALSE
and
includeData = FALSE
in fit.dependency.model
.
Olli-Pekka Huovilainen ohuovila@gmail.com
1 2 3 4 | data(modelData) # Load example data X, Y
model <- fit.dependency.model(X, Y)
# Getting the latent variable Z when it has been calculated with the model
#getZ(model)
|
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