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sem (version 3.1-9)

Structural Equation Models

Description

Functions for fitting general linear structural equation models (with observed and latent 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

29,364

Version

3.1-9

License

GPL (>= 2)

Maintainer

John Fox

Last Published

April 24th, 2017

Functions in sem (3.1-9)

fscores

Factor Scores for Latent Variables
information.criteria

Additional Information Criteria
bootSem

Bootstrap a Structural Equation Model
effects.sem

Total, Direct, and Indirect Effects for Structural Equation Models
ML.methods

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

Six Mental Tests
Bollen

Bollen's Data on Industrialization and Political Democracy
CNES

Variables from the 1997 Canadian National Election Study
objective.functions

sem Objective-Function Builders
optimizers

sem Optimizers
Klein

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

Partly Artificial Data on the U. S. Economy
pathDiagram

Draw Path Diagram
ram

RAM Matrix for a Structural-Equation Model
residuals.sem

Residual Covariances for a Structural Equation Model
sem-deprecated

Deprecated Functions in the sem Package
sem

General Structural Equation Models
specifyModel

Specify a Structural Equation Model
rawMoments

Compute Raw Moments Matrix
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
tsls

Two-Stage Least Squares
miSem

Estimate a Structural Equation Model By Multiple Imputation
modIndices

Modification Indices for Structural Equation Models