sample_gamma_k: Sampling step for gamma_k (factor precisions)
In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis
Description
Usage
Arguments
Value
Description
Sampling step for gamma_k (factor precisions)
Usage
1
sample_gamma_k(zeros, lambda, c = 0, d = 100)
Arguments
zeros
A binary, sparsity inducing matrix of dimenion P x K.
lambda
A standard multivariate normal matrix of factor loadings of dimension P x K.
c
A tunable hyperparameter for the shape parameter of the gamma draw. Default is 0.
d
A tunable hyperparameter for the inverse-scale (rate) parameter of the gamma draw. Default is 100
Value
gamma_k Numeric vector of factor precisions of length 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 gamma_k (factor precisions)
Usage
1 | sample_gamma_k(zeros, lambda, c = 0, d = 100)
|
Arguments
zeros |
A binary, sparsity inducing matrix of dimenion P x K. |
lambda |
A standard multivariate normal matrix of factor loadings of dimension P x K. |
c |
A tunable hyperparameter for the shape parameter of the gamma draw. Default is 0. |
d |
A tunable hyperparameter for the inverse-scale (rate) parameter of the gamma draw. Default is 100 |
Value
gamma_k Numeric vector of factor precisions of length 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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