BIC: Bayesian Information Content
In peplib: Peptide Library Analysis Methods
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Calculates the Bayesian Information Content
Usage
1
Arguments
object
A statistical model, including its data
...
Additional arguments
Details
The BIC is calculated as -2 * logLik + k * log(n), where k is the number of
parameters and n is the number of independent observations. logLik is the
log-likelihood.
Value
The BIC
Author(s)
Andrew White
See Also
peplib documentation built on May 29, 2017, 10:52 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Calculates the Bayesian Information Content
Usage
1 |
Arguments
object |
A statistical model, including its data |
... |
Additional arguments |
Details
The BIC is calculated as -2 * logLik + k * log(n), where k is the number of
parameters and n is the number of independent observations. logLik is the
log-likelihood.
Value
The BIC
Author(s)
Andrew White
See Also
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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