sample_omega: Sampling step for omega matrix (Factor Scores) of dimension N...
In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis
Description
Usage
Arguments
Value
Description
Sampling step for omega matrix (Factor Scores) of dimension N x K.
Usage
1
sample_omega(lambda, x, alpha)
Arguments
lambda
A standard multivariate normal matrix of factor loadings of dimension P x K.
x
A multivariate Gaussian copula matrix of dimenion N x P.
alpha
A numeric vector of item-intercepts of length P.
Value
omega A multivariate Gaussian matrix of factor scores of dimension N x K.
EandrewJones/mmBPFA documentation built on Feb. 14, 2021, 11:17 p.m.
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Description Usage Arguments Value
Description
Sampling step for omega matrix (Factor Scores) of dimension N x K.
Usage
1 | sample_omega(lambda, x, alpha)
|
Arguments
lambda |
A standard multivariate normal matrix of factor loadings of dimension P x K. |
x |
A multivariate Gaussian copula matrix of dimenion N x P. |
alpha |
A numeric vector of item-intercepts of length P. |
Value
omega A multivariate Gaussian matrix of factor scores of dimension N x K.
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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