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sem (version 3.1-3)

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

3.1-3

License

GPL (>= 2)

Maintainer

John Fox

Last Published

April 9th, 2013

Functions in sem (3.1-3)

Bollen

Bollen's Data on Industrialization and Political Democracy
Klein

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

Input a Covariance, Correlation, or Raw Moment Matrix
pathDiagram

Draw Path Diagram
optimizers

sem Optimizers
miSem

Estimate a Structural Equation Model By Multiple Imputation
modIndices

Modification Indices for Structural Equation Models
specifyModel

Specify a Structural Equation Model
Tests

Six Mental Tests
rawMoments

Compute Raw Moments Matrix
residuals.sem

Residual Covariances for a Structural Equation Model
effects.sem

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

Factor Scores for Latent Variables
Kmenta

Partly Artificial Data on the U. S. Economy
ram

RAM Matrix for a Structural-Equation Model
sem

General Structural Equation Models
objective.functions

sem Objective-Function Builders
tsls

Two-Stage Least Squares
sem-deprecated

Deprecated Functions in the sem Package
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
CNES

Variables from the 1997 Canadian National Election Study
ML.methods

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

Additional Information Criteria
bootSem

Bootstrap a Structural Equation Model