def_stand_params: Define standardized parameters for the RAM model.
In IvanVoronin/TwinAnalysis: This is a package to simplify structural equation modeling - and particularly, twin analysis - in R.
def_stand_params R Documentation
Define standardized parameters for the RAM model.
Description
The function adds the algebra defining the standardized parameters of a
RAM model and a fancy table with raw and standardized estimates.
Usage
def_stand_params(model)
Arguments
model
MxModel object of type RAM.
Value
MxModel object.
Note
The standardization is based on the variances from the expected covariation
matrix of the model. One-way paths are standardized as
b_XY * \sqrt{V_Y}/\sqrt{V_X} (CHECK!!!). Two-way paths are
standardized as Cov_XY / (\sqrt{V_X}\sqrt{V_Y}).
The function defines two output tables: Parameter_table includes
one-way and two-way paths and Means include the means. The user can
identify the confidence intervals for the whole table or for its part,
see examples for def_ci.
IvanVoronin/TwinAnalysis documentation built on July 24, 2024, 9:36 p.m.
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| def_stand_params | R Documentation |
Define standardized parameters for the RAM model.
Description
The function adds the algebra defining the standardized parameters of a RAM model and a fancy table with raw and standardized estimates.
Usage
def_stand_params(model)
Arguments
model |
|
Value
MxModel object.
Note
The standardization is based on the variances from the expected covariation
matrix of the model. One-way paths are standardized as
b_XY * \sqrt{V_Y}/\sqrt{V_X} (CHECK!!!). Two-way paths are
standardized as Cov_XY / (\sqrt{V_X}\sqrt{V_Y}).
The function defines two output tables: Parameter_table includes
one-way and two-way paths and Means include the means. The user can
identify the confidence intervals for the whole table or for its part,
see examples for def_ci.
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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