Function to access all the methods
bde(dataPoints,dataPointsCache=NULL,estimator,b=length(sample)^{-2/5},
lower.limit=0, upper.limit=1,options=NULL)Vector containing the points to be used to estimate the density.
Points where the density has to be estimated. If omitted, 101 points equally distributed in the [lower.limit,upper.limit] interval are used
Density estimator to be used. This has to be one of the following:
"betakernel": Chen's beta kernel density estimator
"vitale": Vitale's Bernstein polynomial based estimator
"boundarykernel": Boundary kernel based density estimators, as proposed by Muller et al.
"kakizawa": Kakizawa's density estimators
Bandwidth to be used. Note that in the case of Vitale's estimator the m parameter is set at 1/b
a numeric value for the lower limit of the bounded interval for the data
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
A list containing the different options available for the estimators: