BMAweight_bic: Approximate model posterior probability using BIC.
In senhu/FCBMA: Factor collapsing with Bayesian model averaging for regression models
Description
Usage
Arguments
Value
Examples
View source: R/BMAweight_bic.R
Description
This function calculates approximately model posterior probability given BIC values, which can then be used for BMA.
Usage
1
BMAweight_bic(BICvec)
Arguments
BICvec
a vector of all BIC values used to calculate model weight
Value
the approximated posterior model probability, i.e. model weight used in BMA.
Examples
1
BMAweight_bic(c(10,11,9,15,9.5))
senhu/FCBMA documentation built on Aug. 6, 2019, 4:56 p.m.
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Description Usage Arguments Value Examples
View source: R/BMAweight_bic.R
Description
This function calculates approximately model posterior probability given BIC values, which can then be used for BMA.
Usage
1 | BMAweight_bic(BICvec)
|
Arguments
BICvec |
a vector of all BIC values used to calculate model weight |
Value
the approximated posterior model probability, i.e. model weight used in BMA.
Examples
1 | BMAweight_bic(c(10,11,9,15,9.5))
|
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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