calc_KL_RE: Computes KL divergence for RE
In stephenslab/VEB.Boost: This package provides the functionality to perform VEB-Boosting.
View source: R/random_effect_learner.R
View source: R/random_effect_fit_functions.R
calc_KL_RE R Documentation
Computes KL divergence for RE
Description
Computes KL divergence for RE
Usage
calc_KL_RE(mu_post, L_post, V)
Arguments
mu_post
is posterior mean of RE
L_post
is posterior precision of RE (it must have an attribute called 'evd' that has its eigenvalue decomposition)
V
is prior variance of RE
stephenslab/VEB.Boost documentation built on July 2, 2023, 1 p.m.
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View source: R/random_effect_learner.R View source: R/random_effect_fit_functions.R
| calc_KL_RE | R Documentation |
Computes KL divergence for RE
Description
Computes KL divergence for RE
Usage
calc_KL_RE(mu_post, L_post, V)
Arguments
mu_post |
is posterior mean of RE |
L_post |
is posterior precision of RE (it must have an attribute called 'evd' that has its eigenvalue decomposition) |
V |
is prior variance of RE |
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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