kernelboot-class: 'kernelboot' class object

In twolodzko/kernelboot: Smoothed Bootstrap and Random Generation from Kernel Densities

'kernelboot' class object

Description

'kernelboot' class object

Details

Object of class "kernelboot", is a list with components including

orig.stat	estimates from statistic on the original data,
boot.samples	samples drawn,
call	function call,
statistic	actual statistic function that was used,
orig.data	original data used for bootstrapping,
variables	used variables: it is NULL for univariate data and for multivariate data it contains two lists of smoothed and ignored variables (names or column indexes) during the smoothing phase.
type	type of kernel density that was used ("univariate", "product", "multivariate"),
param	list of parameters that were used.

param section contains:

R	number of bootstrap iterations,
bw	the bandwidth that was used,
weights	vector of the weights that were applied,
kernel	name of the kernel that was used ("multivariate", "gaussian", "epanechnikov", "rectangular", "triangular", "biweight", "cosine", "optcosine", "none"),
shrinked	value of the shrinked parameter,
parallel	indicates if parallel computation was used,
random.seed	random seed used to initialize the random number generator (see .Random.seed).

See Also

kernelboot

twolodzko/kernelboot documentation built on April 25, 2023, 1:36 p.m.