rcpp_RAMmult: Take RAM matrices, multiplies, and returns Implied Covariance...
In regsem: Regularized Structural Equation Modeling
rcpp_RAMmult R Documentation
Take RAM matrices, multiplies, and returns Implied Covariance matrix.
Description
Take RAM matrices, multiplies, and returns Implied Covariance matrix.
Usage
rcpp_RAMmult(par, A, S, S_fixed, A_fixed, A_est, S_est, Fmat, I)
Arguments
par
parameter estimates.
A
A matrix with parameter labels.
S
S matrix with parameter labels.
S_fixed
S matrix with fixed indicators.
A_fixed
A matrix with fixed indicators.
A_est
A matrix with parameter estimates.
S_est
S matrix with parameter estimates.
Fmat
Fmat matrix.
I
Diagonal matrix of ones.
regsem documentation built on June 7, 2023, 5:58 p.m.
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| rcpp_RAMmult | R Documentation |
Take RAM matrices, multiplies, and returns Implied Covariance matrix.
Description
Take RAM matrices, multiplies, and returns Implied Covariance matrix.
Usage
rcpp_RAMmult(par, A, S, S_fixed, A_fixed, A_est, S_est, Fmat, I)
Arguments
par |
parameter estimates. |
A |
A matrix with parameter labels. |
S |
S matrix with parameter labels. |
S_fixed |
S matrix with fixed indicators. |
A_fixed |
A matrix with fixed indicators. |
A_est |
A matrix with parameter estimates. |
S_est |
S matrix with parameter estimates. |
Fmat |
Fmat matrix. |
I |
Diagonal matrix of ones. |
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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