Learn R Programming

sem (version 3.1-16)

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.

Copy Link

Version

Install

install.packages('sem')

Monthly Downloads

32,099

Version

3.1-16

License

GPL (>= 2)

Maintainer

Zhenghua Nie

Last Published

August 28th, 2024

Functions in sem (3.1-16)

CNES

Variables from the 1997 Canadian National Election Study
effects.sem

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

Factor Scores for Latent Variables
readMoments

Input a Covariance, Correlation, or Raw Moment Matrix
optimizers

sem Optimizers
pathDiagram

Draw Path Diagram
rawMoments

Compute Raw Moments Matrix
ram

RAM Matrix for a Structural-Equation Model
objective.functions

sem Objective-Function Builders
information.criteria

Additional Information Criteria
modIndices

Modification Indices for Structural Equation Models
miSem

Estimate a Structural Equation Model By Multiple Imputation
residuals.sem

Residual Covariances for a Structural Equation Model
sem-deprecated

Deprecated Functions in the sem Package
tsls

Two-Stage Least Squares
standardizedCoefficients

Standardized Coefficients for Structural Equation Models
specifyModel

Specify a Structural Equation Model
sem

General Structural Equation Models
Bollen

Bollen's Data on Industrialization and Political Democracy
Tests

Six Mental Tests
HS.data

Holizinger and Swineford's Data
Kmenta

Partly Artificial Data on the U. S. Economy
bootSem

Bootstrap a Structural Equation Model
Klein

Klein's Data on the U. S. Economy
ML.methods

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