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sem (version 3.1-1)

Structural Equation Models

Description

This package contains functions for fitting general linear structural equation models (with observed and unobserved variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.

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Version

Install

install.packages('sem')

Monthly Downloads

26,092

Version

3.1-1

License

GPL (>= 2)

Homepage

http://www.r-project.org

Maintainer

John Fox

Last Published

January 30th, 2013

Functions in sem (3.1-1)

fscores

Factor Scores for Latent Variables

objective.functions

sem Objective-Function Builders

CNES

Variables from the 1997 Canadian National Election Study

readMoments

Input a Covariance, Correlation, or Raw Moment Matrix

standardizedCoefficients

Standardized Coefficients for Structural Equation Models

Total, Direct, and Indirect Effects for Structural Equation Models

sem-deprecated

Deprecated Functions in the sem Package

ML.methods

Methods for sem Objects Fit Using the objectiveML, objectiveGLS, objectiveFIML, msemObjectiveML, and msemObjectiveGLS Objective Functions

residuals.sem

Residual Covariances for a Structural Equation Model

rawMoments

Compute Raw Moments Matrix

sem

General Structural Equation Models

Kmenta

Partly Artificial Data on the U. S. Economy

specifyModel

Specify a Structural Equation Model

Bollen

Bollen's Data on Industrialization and Political Democracy

Klein

Klein's Data on the U. S. Economy

information.criteria

Additional Information Criteria

pathDiagram

Draw Path Diagram

ram

RAM Matrix for a Structural-Equation Model

modIndices

Modification Indices for Structural Equation Models

bootSem

Bootstrap a Structural Equation Model

miSem

Estimate a Structural Equation Model By Multiple Imputation

tsls

Two-Stage Least Squares