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sem (version 3.1-13)

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

25,787

Version

3.1-13

License

GPL (>= 2)

Maintainer

John Fox

Last Published

October 5th, 2021

Functions in sem (3.1-13)

CNES

Variables from the 1997 Canadian National Election Study
Kmenta

Partly Artificial Data on the U. S. Economy
Tests

Six Mental Tests
Klein

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

Bootstrap a Structural Equation Model
fscores

Factor Scores for Latent Variables
effects.sem

Total, Direct, and Indirect Effects for Structural Equation Models
HS.data

Holizinger and Swineford's Data
Bollen

Bollen's Data on Industrialization and Political Democracy
ML.methods

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

sem Optimizers
residuals.sem

Residual Covariances for a Structural Equation Model
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
ram

RAM Matrix for a Structural-Equation Model
rawMoments

Compute Raw Moments Matrix
pathDiagram

Draw Path Diagram
miSem

Estimate a Structural Equation Model By Multiple Imputation
information.criteria

Additional Information Criteria
modIndices

Modification Indices for Structural Equation Models
objective.functions

sem Objective-Function Builders
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
sem-deprecated

Deprecated Functions in the sem Package
tsls

Two-Stage Least Squares
specifyModel

Specify a Structural Equation Model
sem

General Structural Equation Models