DependencyModel-class: Class "DependencyModel"

In dmt: Dependency Modeling Toolkit

Description

A Dependency model for one or two data sets

Objects from the Class

Returned by fit.dependency.model, ppca, pfa, and pcca functions.

Slots

W

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

phi

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

score for fitness of model

method

name of the used method

params

list of parameters used in dependency model

data

The data used to calculate the dependency model

z

The latent variable Z

Methods

getW

signature(model = "DependencyModel"): Returns a list of model variable Ws X, Y and total component

getPhi

signature(model = "DependencyModel"): Returns a list of model variable phis X and Y and total component

getScore

signature(model = "DependencyModel"): Returns the dependency score of model

getParams

signature(model = "DependencyModel"): Returns a list of used parameters for the method

getModelMethod

signature(model = "DependencyModel"): Returns the name of the used method

getWindowSize

signature(model = "DependencyModel"): Returns the size of window

getZ

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.

Author(s)

Olli-Pekka Huovilainen [e-mail]

Examples

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)

dmt documentation built on May 2, 2019, 5:49 p.m.