strumFittedModel-class: Class '"strumFittedModel"'

In strum: STRUctural Modeling of Latent Variables for General Pedigree

Description

strumSimModel is an S4 class that contains the result from a strum analysis, i.e., information of a trait model with fitted parameter values.

Objects from the Class

Objects should be created by the calls to the strum function.

Slots

myStrumModel:

Object of class "strumModel" stating the analysis model.

modelValidity:

Indicator stating the validity of the analysis model.

fittedParameters:

Object of class "data.frame" containing the fitted parameter values of the model with the standard errors, confidence intervals, and p-values.

fittedParametersCovMatrix:

The variance-covariance matrix of the fitted parameters.

deltaParameters:

For internal use

deltaParametersCovMatrix:

For internal use

parDiff:

For internal use

parDiffCovMatrix:

For internal use

chiTestOut:

Object of class "data.frame" containing the un-adjusted(1), mean scaled(2), and mean/variance scaled(3) chi-square index of fits with the degrees of freedom and p-values along with the theoretically corrected p-value(4) from simulation.

fitIndices:

Object of class "data.frame" containing the model fit indices.

Methods

fittedParameters

signature(object = "strumFittedModel"): Accessor function, returns the fittedParameters of the object.

fittedParametersCovMatrix

signature(object = "strumFittedModel"): Accessor function, returns the fittedParametersCovMatrix of the object.

chiTestOut

signature(object = "strumFittedModel"): Accessor function, returns the chiTestOut of the object.

show

signature(object = "strumFittedModel"): Print a summary of the fitted model.

See Also

strumModel

Examples

showClass("strumFittedModel")

strum documentation built on May 2, 2019, 7:03 a.m.