getSearch: Collect the search options, todo: really use this in the...
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Author(s)
Description
Collect the search options, todo: really use this in the
package!
Usage
1
2
getSearch(nModels = as.integer(max(1L, floor(nCache/100))),
nCache = 1000000000L, chainlength = 10000L)
Arguments
nModels
how many best models should be saved?
(default: 1% of the total number of (cached) models).
Must not be larger than nCache.
nCache
maximum number of best models to be cached
at the same time during the model sampling
chainlength
length of the model sampling chain
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 Author(s)
Description
Collect the search options, todo: really use this in the package!
Usage
1 2 | getSearch(nModels = as.integer(max(1L, floor(nCache/100))),
nCache = 1000000000L, chainlength = 10000L)
|
Arguments
nModels |
how many best models should be saved?
(default: 1% of the total number of (cached) models).
Must not be larger than |
nCache |
maximum number of best models to be cached at the same time during the model sampling |
chainlength |
length of the model sampling chain |
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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