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