logBFhypergn: Compute the log Bayes Factor against the null model under...
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
Author(s)
Description
Compute the log Bayes Factor against the null model under
hyper-g/n prior.
Usage
1
logBFhypergn(n, p, R2)
Arguments
n
number of observations
p
number of covariates (excluding the intercept)
R2
coefficient of determination
Value
the (double) value of the log BF, NA if the computation
failed.
Author(s)
Daniel Sabanes Bove
daniel.sabanesbove@ifspm.uzh.ch
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value Author(s)
Description
Compute the log Bayes Factor against the null model under hyper-g/n prior.
Usage
1 | logBFhypergn(n, p, R2)
|
Arguments
n |
number of observations |
p |
number of covariates (excluding the intercept) |
R2 |
coefficient of determination |
Value
the (double) value of the log BF, NA if the computation failed.
Author(s)
Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch
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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