LISREL: Build the 4 basic matrices of the LISREL "all-y"...
In stremo: Functions to help the process of learning structural equation modelling
Description
Usage
Arguments
Value
References
Examples
Description
These functions describe the structure of a path or latent variable
model given a set of starting values. All fixed, free, and constrained
(not yet implemented) go in them.
Usage
1
2
3
4
BETA(model)
PSI(model)
LAMBDA.Y(model)
THETA.EPSILON(model)
Arguments
model
A lavaanified model.
Value
A structural matrix with and ids attribute indicating the
positions of the parameters in the lavaanified model used as input.
References
Basic Principles of Structural Equation Modeling: And Introduction to
LISREL and EQS. Springer Text in Statistics. Ralph O. Mueller.
Examples
1
2
3
4
5
6
data(albert)
tmp <- lvnfy(albert.model, data = albert.litho.cov, n = 107)
BE <- BETA(tmp)
PS <- PSI(tmp)
LY <- LAMBDA.Y(tmp)
TE <- THETA.EPSILON(tmp)
stremo documentation built on Jan. 15, 2017, 7:33 p.m.
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Description Usage Arguments Value References Examples
Description
These functions describe the structure of a path or latent variable model given a set of starting values. All fixed, free, and constrained (not yet implemented) go in them.
Usage
1 2 3 4 | BETA(model)
PSI(model)
LAMBDA.Y(model)
THETA.EPSILON(model)
|
Arguments
model |
A lavaanified model. |
Value
A structural matrix with and ids attribute indicating the
positions of the parameters in the lavaanified model used as input.
References
Basic Principles of Structural Equation Modeling: And Introduction to LISREL and EQS. Springer Text in Statistics. Ralph O. Mueller.
Examples
1 2 3 4 5 6 | data(albert)
tmp <- lvnfy(albert.model, data = albert.litho.cov, n = 107)
BE <- BETA(tmp)
PS <- PSI(tmp)
LY <- LAMBDA.Y(tmp)
TE <- THETA.EPSILON(tmp)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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