zero.bounded.density: Zero Bounded Density
In dlebauer/pecan-priors: PEcAn module to support prior elicitation

Description Usage Arguments Details Value Author(s) References

Zero bounded density using log density transform

1	zero.bounded.density(x, bw = "SJ")

`x`
`bw`	The smoothing bandwidth to be used. See 'bw.nrd'

Provides a zero bounded density estimate of a parameter. Kernel Density Estimation used by the stats::density function will cause problems at the left hand end because it will put some weight on negative values. One useful approach is to transform to logs, estimate the density using KDE, and then transform back.

data frame with back-transformed log density estimate

Rob Hyndman

M. P. Wand, J. S. Marron and D. Ruppert, 1991. Transformations in Density Estimation. Journal of the American Statistical Association. 86(414):343-353 http://www.jstor.org/stable/2290569

dlebauer/pecan-priors documentation built on Sept. 26, 2019, 5:03 a.m.