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sem (version 3.1-0)

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

26,092

Version

3.1-0

License

GPL (>= 2)

Maintainer

John Fox

Last Published

January 17th, 2013

Functions in sem (3.1-0)

Klein

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

sem Optimizers
residuals.sem

Residual Covariances for a Structural Equation Model
effects.sem

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

Compute Raw Moments Matrix
bootSem

Bootstrap a Structural Equation Model
CNES

Variables from the 1997 Canadian National Election Study
miSem

Estimate a Structural Equation Model By Multiple Imputation
sem-deprecated

Deprecated Functions in the sem Package
Kmenta

Partly Artificial Data on the U. S. Economy
modIndices

Modification Indices for Structural Equation Models
specifyModel

Specify a Structural Equation Model
fscores

Factor Scores for Latent Variables
Tests

Six Mental Tests
pathDiagram

Draw Path Diagram
sem

General Structural Equation Models
Bollen

Bollen's Data on Industrialization and Political Democracy
objective.functions

sem Objective-Function Builders
ML.methods

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

Input a Covariance, Correlation, or Raw Moment Matrix
information.criteria

Additional Information Criteria
tsls

Two-Stage Least Squares
ram

RAM Matrix for a Structural-Equation Model
standardizedCoefficients

Standardized Coefficients for Structural Equation Models