calc_weights: Calculate the weights for each marginal likelihood
In mcbette: Model Comparison Using 'babette'
calc_weights R Documentation
Calculate the weights for each marginal likelihood
Description
Calculate the weights for each marginal likelihood
Usage
calc_weights(marg_liks)
Arguments
marg_liks
(non-log) marginal likelihood estimates
Value
the weight of each marginal likelihood estimate,
which will sum up to 1.0
Author(s)
Richèl J.C. Bilderbeek
Examples
# Evidences (aka marginal likelihoods) can be very small
evidences <- c(0.0001, 0.0002, 0.0003, 0.0004)
# Sum will be 1.0
calc_weights(evidences)
beastier::remove_beaustier_folders()
beastier::check_empty_beaustier_folders()
mcbette documentation built on Sept. 27, 2023, 9:08 a.m.
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| calc_weights | R Documentation |
Calculate the weights for each marginal likelihood
Description
Calculate the weights for each marginal likelihood
Usage
calc_weights(marg_liks)
Arguments
marg_liks |
(non-log) marginal likelihood estimates |
Value
the weight of each marginal likelihood estimate, which will sum up to 1.0
Author(s)
Richèl J.C. Bilderbeek
Examples
# Evidences (aka marginal likelihoods) can be very small
evidences <- c(0.0001, 0.0002, 0.0003, 0.0004)
# Sum will be 1.0
calc_weights(evidences)
beastier::remove_beaustier_folders()
beastier::check_empty_beaustier_folders()
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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