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sem (version 3.1-4)

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

3.1-4

License

GPL (>= 2)

Maintainer

John Fox

Last Published

May 5th, 2014

Functions in sem (3.1-4)

objective.functions

sem Objective-Function Builders
effects.sem

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

Draw Path Diagram
miSem

Estimate a Structural Equation Model By Multiple Imputation
sem

General Structural Equation Models
tsls

Two-Stage Least Squares
optimizers

sem Optimizers
residuals.sem

Residual Covariances for a Structural Equation Model
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
Tests

Six Mental Tests
Kmenta

Partly Artificial Data on the U. S. Economy
bootSem

Bootstrap a Structural Equation Model
Klein

Klein's Data on the U. S. Economy
information.criteria

Additional Information Criteria
fscores

Factor Scores for Latent Variables
Bollen

Bollen's Data on Industrialization and Political Democracy
modIndices

Modification Indices for Structural Equation Models
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
ram

RAM Matrix for a Structural-Equation Model
specifyModel

Specify a Structural Equation Model
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
CNES

Variables from the 1997 Canadian National Election Study
rawMoments

Compute Raw Moments Matrix