qc: qc

In kader: Kernel Adaptive Density Estimation and Regression

Description

Coefficient q_c(u) of eq. (15.15) in Eichner (2017).

Usage

qc(u, cc = sqrt(5/3))

Arguments

u	Numeric vector.
cc	Numeric constant, defaults to √(5/3).

Details

q_c(u) = 2/5 * c^5 / (3 - c^2) * (1 - 2 * u)

For further details see p. 297 f. in Eichner (2017) and/or Eichner & Stute (2013).

Value

Vector of same length and mode as u.

Note

q_c(u) should be undefined for c = √ 3, but qc is here implemented to return Inf * (1 - 2*u) if cc contains R's value of sqrt(3).

Examples

u <- c(0, 1)   # seq(0, 1, by = 0.1)
c0 <- expression(sqrt(5/3))
c1 <- expression(sqrt(3) - 0.05)
cgrid <- seq(1.4, 1.6, by = 0.1)
cvals <- c(eval(c0), cgrid, eval(c1))

Y <- sapply(cvals, function(cc, u) qc(u, cc = cc), u = u)
cols <- rainbow(ncol(Y), end = 9/12)
matplot(u, Y, type = "l", lty = "solid", col = cols,
  ylab = expression(q[c](u)))
abline(h = 0, lty = "dashed")
legend("topright", title = "c", legend = c(c0, cgrid, c1),
  lty = 1, col = cols, cex = 0.8)

kader documentation built on May 1, 2019, 10:13 p.m.