'kernelboot' class object
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). |
kernelboot