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sem (version 2.1-1)

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

24,867

Version

2.1-1

License

GPL (>= 2)

Maintainer

John Fox

Last Published

November 23rd, 2011

Functions in sem (2.1-1)

Klein

Klein's Data on the U. S. Economy
objective.functions

sem Objective-Function Builders
CNES

Variables from the 1997 Canadian National Election Study
optimizers

sem Optimizers
effects.sem

Total, Direct, and Indirect Effects for Structural Equation Models
fscores

Factor Scores for Latent Variables
residuals.sem

Residual Covariances for a Structural Equation Model
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
specifyModel

Specify a Structural Equation Model
tsls

Two-Stage Least Squares
rawMoments

Compute Raw Moments Matrix
sem-deprecated

Deprecated Functions in the sem Package
pathDiagram

Draw Path Diagram
Bollen

Bollen's Data on Industrialization and Political Democracy
bootSem

Bootstrap a Structural Equation Model
information.criteria

Additional Information Criteria
sem

General Structural Equation Models
modIndices

Modification Indices for Structural Equation Models
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
Kmenta

Partly Artificial Data on the U. S. Economy
ram

RAM Matrix for a Structural-Equation Model
ML.methods

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