log_priors: Calculate the log joint prior
In lily940703/febama: Feature-based Bayesian Forecasting Model Averaging
log_priors R Documentation
Calculate the log joint prior
Description
Calculate the log joint prior of indicator vectors and coefficient vectors.
See model_conf_default for more information of parameter settings.
Usage
log_priors(beta, betaIdx, varSelArgs, priArgs, sum = TRUE)
Arguments
beta
A list of coefficient vectors of the features.
betaIdx
A list of indicator vectors.
varSelArgs
Variable selection settings.
priArgs
Parameter settings in the priors of beta and betaIdx.
sum
Logical, if TRUE, sum all conditional priors.
Value
log_priors returns the value of log joint prior.
lily940703/febama documentation built on March 20, 2022, 1:57 a.m.
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| log_priors | R Documentation |
Calculate the log joint prior
Description
Calculate the log joint prior of indicator vectors and coefficient vectors.
See model_conf_default for more information of parameter settings.
Usage
log_priors(beta, betaIdx, varSelArgs, priArgs, sum = TRUE)
Arguments
beta |
A list of coefficient vectors of the features. |
betaIdx |
A list of indicator vectors. |
varSelArgs |
Variable selection settings. |
priArgs |
Parameter settings in the priors of |
sum |
Logical, if TRUE, sum all conditional priors. |
Value
log_priors returns the value of log joint prior.
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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