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sem (version 2.0-0)

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

30,969

Version

2.0-0

License

GPL (>= 2)

Maintainer

John Fox

Last Published

November 7th, 2011

Functions in sem (2.0-0)

ML.methods

Methods for sem Objects Fit Using the objectiveML and objectiveGLS Objective Functions
information.criteria

Additional Information Criteria
bootSem

Bootstrap a Structural Equation Model
specifyModel

Specify a Structural Equation Model
tsls

Two-Stage Least Squares
Kmenta

Partly Artificial Data on the U. S. Economy
effects.sem

Total, Direct, and Indirect Effects for Structural Equation Models
sem-deprecated

Deprecated Functions in the sem Package
objective.functions

sem Objective-Function Builders
modIndices

Modification Indices for Structural Equation Models
Bollen

Bollen's Data on Industrialization and Political Democracy
optimizers

sem Optimizers
pathDiagram

Draw Path Diagram
Klein

Klein's Data on the U. S. Economy
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
ram

RAM Matrix for a Structural-Equation Model
sem

General Structural Equation Models
rawMoments

Compute Raw Moments Matrix
CNES

Variables from the 1997 Canadian National Election Study
residuals.sem

Residual Covariances for a Structural Equation Model
fscores

Factor Scores for Latent Variables