sample_d: Sampling step for d (hyperparameter for sample_gamma_k)
In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis
Description
Usage
Arguments
Value
Description
Sampling step for d (hyperparameter for sample_gamma_k)
Usage
1
Arguments
zeros
A binary, sparsity inducing matrix of dimenion P x K.
gamma_k
A gamma-distributed vector of factor precisions of length K.
c
A tunable hyperparameter for the shape parameter of the gamma draw. Default is 1.
c0
A tunable hyperparameter for the shape parameter of the gamma draw.
d0
A tunable hyperparameter for the inverse-scale (rate) parameter of the gamma draw.
Value
scalar double
EandrewJones/mmBPFA documentation built on Feb. 14, 2021, 11:17 p.m.
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Description Usage Arguments Value
Description
Sampling step for d (hyperparameter for sample_gamma_k)
Usage
1 |
Arguments
zeros |
A binary, sparsity inducing matrix of dimenion P x K. |
gamma_k |
A gamma-distributed vector of factor precisions of length K. |
c |
A tunable hyperparameter for the shape parameter of the gamma draw. Default is 1. |
c0 |
A tunable hyperparameter for the shape parameter of the gamma draw. |
d0 |
A tunable hyperparameter for the inverse-scale (rate) parameter of the gamma draw. |
Value
scalar double
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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