sem1: Structural Equation Models

This package contains functions for fitting general linear structural equation models (with observed and unobserved variables) by the method of maximum likelihood using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.

AuthorJohn Fox <jfox@mcmaster.ca> with contributions from Adam Kramer and Michael Friendly
Date of publicationNone
MaintainerJohn Fox <jfox@mcmaster.ca>
LicenseGPL (>= 2)
Version0.9-23
http://www.r-project.org
http://socserv.socsci.mcmaster.ca/jfox/

View on R-Forge

Functions

anova.sem Man page
anova.tsls Man page
boot.sem Man page
CNES Man page
coef.sem Man page
coef.tsls Man page
cov2raw Man page
deviance.sem Man page
df.residual.sem Man page
fitted.tsls Man page
fscores Man page
fscores.sem Man page
Klein Man page
Kmenta Man page
mod.indices Man page
mod.indices.sem Man page
normalized.residuals Man page
normalized.residuals.sem Man page
path.diagram Man page
path.diagram.sem Man page
print.bootsem Man page
print.mod Man page
print.rawmoments Man page
print.sem Man page
print.sem.modind Man page
print.summary.sem Man page
print.tsls Man page
ram Man page
raw.moments Man page
raw.moments.default Man page
raw.moments.formula Man page
read.moments Man page
residuals.sem Man page
residuals.tsls Man page
sem Man page
sem.default Man page
sem.mod Man page
specify.model Man page
standardized.coefficients Man page
standardized.residuals Man page
standardized.residuals.sem Man page
startvalues Man page
std.coef Man page
summary.bootsem Man page
summary.sem Man page
summary.sem.modind Man page
summary.tsls Man page
tsls Man page
tsls.default Man page
tsls.formula Man page
vcov.sem Man page
vcov.tsls Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.