logspline.summary {logspline}R Documentation

Summarizes Various Logspline Density Estimates

Description

Summarizes various logspline density estimates.

Usage

logspline.summary(fit)

Arguments

fit a list like the output from logspline.fit

Value

This function produces only printed output. The main body is a table with five columns: the first column is a possible number of knots for the fitted model; the second column is the log-likelihood for the fit; the third column is -2*loglikelihood + penalty*(number of knots-1), which is the AIC criterion - logspline.fit selected the model with the smallest value of AIC; the fourth and fifth columns give the endpoints of the interval of values of penalty that would yield the model with the indicated number of knots. (NAs imply that the model is not optimal for any choice of penalty.) At the bottom of the table the number of knots corresponding to the selected model is reported, as is the value of penalty that was used.

See Also

logspline.fit, logspline.plot, dlogspline, plogspline, qlogspline, rlogspline.