macroBetaHirukawaJLNKernel-generator: 'MacroBetaHirukawaJLNKernel' generator method
In bde: Bounded Density Estimation

macroBetaHirukawaJLNKernel

R Documentation

`MacroBetaHirukawaJLNKernel` generator method

Description

User friendly constructor method for MacroBetaHirukawaJLNKernel objects.

Usage

macroBetaHirukawaJLNKernel(dataPoints, b=length(dataPoints)^(-2/5), dataPointsCache=NULL,
                            modified = FALSE, lower.limit = 0, upper.limit = 1)

Arguments

`dataPoints`	a numeric vector containing data samples within the `[lower.limit,upper.limit]` interval. These data samples are used to obtain the kernel estimator
`b`	the bandwidth of the kernel estimator
`dataPointsCache`	a numeric vector containing points within the `[lower.limit,upper.limit]` interval. These points are used for convenience to cache density and distribution values. If `dataPointsCache=NULL` the values are initialized to a sequence of 101 equally spaced values from `lower.limit` to `upper.limit`
`modified`	if `TRUE`, the modified version of the kernel estimator is used
`lower.limit`	a numeric value for the lower limit of the bounded interval for the data
`upper.limit`	a numeric value for the upper limit of the bounded interval for the data. That is, the data is with the `[lower.limit,upper.limit]` interval