lqd2dens: Function for converting log quantile densities to densities

In fdadensity: Functional Data Analysis for Density Functions by Transformation to a Hilbert Space

Description

Function for converting log quantile densities to densities

Usage

lqd2dens(
  lqd,
  lqdSup = seq(0, 1, length.out = length(lqd)),
  dSup,
  useSplines = TRUE
)

Arguments

lqd	log quantile density on lqdSup
lqdSup	support forlqd domain - must begin at 0 and end at 1
dSup	support for Density domain - max and min values mark the boundary of the support.
useSplines	fit spline to the lqd when doing the numerical integration (default: TRUE)

Value

dens density values on dSup

References

Functional Data Analysis for Density Functions by Transformation to a Hilbert space, Alexander Petersen and Hans-Georg Mueller, 2016

Examples

x <- seq(0,2,length.out =512)
y.lqd <- rep(log(2), times = 512)
y <- lqd2dens(dSup=x, lqd = y.lqd) # should equate # 1/2

fdadensity documentation built on Dec. 5, 2019, 9:07 a.m.