normalizedBoundaryKernel-generator: 'NormalizedBoundaryKernel' generator method
In bde: Bounded Density Estimation

normalizedBoundaryKernel

R Documentation

`NormalizedBoundaryKernel` generator method

Description

User friendly constructor method for NormalizedBoundaryKernel objects.

Usage

normalizedBoundaryKernel(dataPoints, mu=1, b=length(dataPoints)^(-2/5), 
                          dataPointsCache=NULL, 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
`mu`	a integer value indicating the degree of smoothness for the boundary kernel. `mu` can take the following values: 0 (uniform kernel), 1 (Epanechnikov kernel), 2 (biweight kernel) or 3 (triweight kernel)
`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`
`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