summary-Xfgpm-method: Summary method for 'Xfgpm' objects

In funGp: Gaussian Process Models for Scalar and Functional Inputs

Summary method for Xfgpm objects

Description

Display a summary of the structure of a Xfgpm object, with a short description of up to n fgpm objects visited during the ACO optimization.

Usage

## S4 method for signature 'Xfgpm'
summary(object, n = 24, ...)

Arguments

object	A Xfgpm object.
n	Maximal number of lines (fgpm objects) to show.
...	Not used yet.

Details

The displayed information depends on the number of candidate inputs, in order to maintain compact tables. The inputs are labelled with integer suffixes, the prefix being "X" for scalar inputs and "F" for functional inputs.

• With a small number of inputs, the list contains only one data frame. For each candidate input (either scalar or functional) a column with the input name indicates if the input is active (cross x) or not (white space) in the fgpm object corresponding to the row. For each functional variable also shown are: the distance used D_, the dimension Bas_ after dimension reduction, the type of basis used B_. Remind that the kernel (Kern) is the same for all functional inputs. Also shown is the value of the Leave-One-Out coefficient Q².

• With a large number of inputs, the list contains two data frames. The first one tells which inputs are active among the scalar and functional candidate inputs. The second data frame gives more details for functional inputs as before.

Value

An object inheriting from list, actually a list containing one or two data frames depending on the number of inputs. In each data frame, the n rows provide information on the best fgpm objects visited.

Examples

summary(xm)

funGp documentation built on April 25, 2023, 9:07 a.m.