log-concave: The Log-concave Distribution.

In cnmlcd: Maximum Likelihood Estimation of a Log-Concave Density Function

Description

Density and dstribution function for a log-concave distribution.

Usage

dlcd(x, lcd, log = FALSE)
plcd(q, lcd, lower.tail = TRUE, log.p = FALSE)

Arguments

x, q	vector of quantiles.
lcd	an object of class lcd.
log, log.p	logical. If TRUE, the log density or log probability values are to be returned.
lower.tail	logical. If TRUE (default), probabilities are p[X <= q]; if otherwise, p[X > q].

Value

dlcd gives the density values, and plcd gives the distribution function values.

References

Liu, Y. and Wang, Y. (2018). A Fast Algorithm for Univariate Log-concave Density Estimation. Australia & New Zealand Journal of Statistics (To appear).

See Also

cnmlcd, lcd.

Examples

x = rnorm(1000)
r = cnmlcd(x)
dlcd(-4:4, r$lcd)
dlcd(-4:4, r$lcd, log=TRUE)
plcd(-4:4, r$lcd)
plcd(-4:4, r$lcd, lower.tail = FALSE)

cnmlcd documentation built on May 1, 2019, 10:55 p.m.