HypergnPrior: Constructor for the "HypergnPrior" class
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
Description
Constructor for the "HypergnPrior" class
Usage
1
HypergnPrior(a = 4, n)
Arguments
a
the hyperparameter which must be larger than 3,
and should not be larger than 4 in order not to favour
too much shrinkage a priori (default: 4)
n
the sample size (positive integer)
Value
a new HypergnPrior object
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value
Description
Constructor for the "HypergnPrior" class
Usage
1 | HypergnPrior(a = 4, n)
|
Arguments
a |
the hyperparameter which must be larger than 3, and should not be larger than 4 in order not to favour too much shrinkage a priori (default: 4) |
n |
the sample size (positive integer) |
Value
a new HypergnPrior object
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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