bw.optim.object: Class of Optimized Bandwidths

In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family

Class of Optimized Bandwidths

Description

An object of the class "bw.optim" represents a tuning parameter (usually a smoothing bandwidth) that has been selected automatically. The object can be used as if it were a numerical value, but it can also be plotted to show the optimality criterion.

Details

An object of the class "bw.optim" represents the numerical value of a smoothing bandwidth, a threshold, or a similar tuning parameter, that has been selected by optimising a criterion such as cross-validation.

The object is a numerical value, with some attributes that retain information about how the value was selected.

Attributes include the vector of candidate values that were examined, the corresponding values of the optimality criterion, the name of the parameter, the name of the optimality criterion, and the units in which the parameter is measured.

There are methods for print, plot, summary, as.data.frame and as.fv for the class "bw.optim".

The print method simply prints the numerical value of the parameter. The summary method prints this value, and states how this value was selected.

The plot method produces a plot of the optimisation criterion against the candidate value of the parameter. The as.data.frame and as.fv methods extract this graphical information as a data frame or function table, respectively.

Author(s)

\spatstatAuthors

.

See Also

Functions which produce objects of class bw.optim include bw.CvL, bw.CvL.adaptive, bw.diggle, bw.lppl, bw.pcf, bw.ppl, bw.relrisk, bw.relrisk.lpp, bw.smoothppp and bw.voronoi

Examples

  Ns <- if(interactive()) 32 else 3
  b <- bw.ppl(redwood, srange=c(0.02, 0.07), ns=Ns)
  b
  summary(b)
  plot(b)

spatstat.explore documentation built on Oct. 23, 2023, 1:07 a.m.