usage.Rmd
library(glossaries)
load_entries(system.file('example/myglossary.yml',package = 'glossaries'))
add_definition(
entry = 'turtle',
name = 'turtle',
desc = 'a large marine reptile with a bony or leathery shell and flippers, coming ashore annually on sandy beaches to lay egg'
)
add_acronym(
entry = 'aic',
name = 'AIC',
desc = 'akaike information criterion'
)
add_acronym(
entry = 'bic',
name = 'BIC',
desc = 'bayes information criterion'
)| Term | |
|---|---|
| ocean | oceans are wet from a standpoint of water |
| turtle | a large marine reptile with a bony or leathery shell and flippers, coming ashore annually on sandy beaches to lay egg |
In statistics, the Bayes information criterion (BIC) or Schwarz information criterion (also SIC, SBC, SBIC) is a criterion for model selection among a finite set of models; the model with the lowest BIC is preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).
When fitting models, it is possible to increase the likelihood by adding parameters, but doing so may result in overfitting. Both BIC and AIC attempt to resolve this problem by introducing a penalty term for the number of parameters in the model; the penalty term is larger in BIC than in AIC
The BIC was developed by Gideon E. Schwarz and published in a 1978 paper, where he gave a Bayesian argument for adopting it.
The Pacific Ocean (PO) is the largest and deepest of Earth’s oceanic divisions. It extends from the Arctic Ocean in the north to the Southern Ocean (or, depending on definition, to Antarctica) in the south and is bounded by the continents of Asia and Australia in the west and the Americas in the east.
Sea turtle live in the Nothern PO one or more life stages, from hatchling to adult. This includes green, loggerhead, olive ridley, leatherback, and hawksbill sea turtles—all of which are protected under the U.S. Endangered Species Act.