BIC.logLik {nlme} | R Documentation |

## BIC of a logLik Object

### Description

This function calculates the Bayesian information criterion,
also known as Schwarz's Bayesian criterion (SBC) for an object
inheriting from class `logLik`

, according to the formula
*log-likelihood +
npar*log(nobs)*, where *npar* represents the number of
parameters and *nobs* the number of observations in the
fitted model. When comparing fitted objects, the smaller the BIC, the
better the fit.

### Usage

## S3 method for class 'logLik':
BIC(object, ...)

### Arguments

`object` |
an object inheriting from class `logLik` , usually
resulting from applying a `logLik` method to a fitted model
object. |

`...` |
some methods for this generic use optional arguments.
None are used in this method. |

### Value

a numeric value with the corresponding BIC.

### Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

### References

Schwarz, G. (1978) "Estimating the Dimension of a Model", Annals of
Statistics, 6, 461-464.

### See Also

`BIC`

, `logLik`

, `AIC`

.

### Examples

fm1 <- lm(distance ~ age, data = Orthodont)
BIC(logLik(fm1))

[Package

*nlme* version 3.1-66

Index]