Learn R Programming
⚠️There's a newer version (3.1-16) of this package.Take me there.

sem (version 2.1-0)

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.

Copy Link

Version

Install

install.packages('sem')

Monthly Downloads

28,826

Version

2.1-0

License

GPL (>= 2)

Maintainer

John Fox

Last Published

November 18th, 2011

Functions in sem (2.1-0)

Kmenta

Partly Artificial Data on the U. S. Economy
CNES

Variables from the 1997 Canadian National Election Study
ML.methods

Methods for sem Objects Fit Using the objectiveML and objectiveGLS Objective Functions
pathDiagram

Draw Path Diagram
specifyModel

Specify a Structural Equation Model
objective.functions

sem Objective-Function Builders
effects.sem

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

Klein's Data on the U. S. Economy
sem-deprecated

Deprecated Functions in the sem Package
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
ram

RAM Matrix for a Structural-Equation Model
bootSem

Bootstrap a Structural Equation Model
sem

General Structural Equation Models
fscores

Factor Scores for Latent Variables
information.criteria

Additional Information Criteria
optimizers

sem Optimizers
Bollen

Bollen's Data on Industrialization and Political Democracy
residuals.sem

Residual Covariances for a Structural Equation Model
rawMoments

Compute Raw Moments Matrix
modIndices

Modification Indices for Structural Equation Models
tsls

Two-Stage Least Squares