Compute the Log Likelihood for Regression-Scale Models
Computes the log likelihood for regression-scale models.
## S3 method for class 'rsm' logLik(object, ...)
object |
an object inheriting from class |
... |
absorbs any additional argument. |
This is a method for the function logLik() for objects
inheriting from class rsm.
Returns an object class logLik which is a number
with attributes, attr(r, "df") (degrees of freedom)
giving the number of parameters (regression coefficients plus
scale parameter, if not fixed) in the model.
The default
print method for logLik objects is used.
## Sea Level Data
data(venice)
attach(venice)
Year <- 1:51/51
c11 <- cos(2*pi*1:51/11) ; s11 <- sin(2*pi*1:51/11)
c19 <- cos(2*pi*1:51/18.62) ; s19 <- sin(2*pi*1:51/18.62)
venice.rsm <- rsm(sea ~ Year + I(Year^2) + c11 + s11 + c19 + s19,
family = extreme)
##
logLik(venice.rsm)
detach()Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.