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location
, scale parameter scale
,
and asymmetry parameter kappa
.dalap(x, location = 0, scale = 1, tau = 0.5, kappa = sqrt(tau/(1-tau)),
log = FALSE)
palap(q, location = 0, scale = 1, tau = 0.5, kappa = sqrt(tau/(1-tau)))
qalap(p, location = 0, scale = 1, tau = 0.5, kappa = sqrt(tau/(1-tau)))
ralap(n, location = 0, scale = 1, tau = 0.5, kappa = sqrt(tau/(1-tau)))
length(n) > 1
then the length is taken to be the number required.kappa
and is ignored
if kappa
is assigned.TRUE
, probabilities p
are given as log(p)
.dalap
gives the density,
palap
gives the distribution function,
qalap
gives the quantile function, and
ralap
generates random deviates.alaplace3
, the alaplace3
.x <- seq(-5, 5, by = 0.01)
loc <- 0; sigma <- 1.5; kappa <- 2
plot(x, dalap(x, loc, sigma, kappa = kappa), type = "l", col = "blue",
main = "Blue is density, red is cumulative distribution function",
ylim = c(0,1), sub = "Purple are 5, 10, ..., 95 percentiles",
las = 1, ylab = "", cex.main = 0.5)
abline(h = 0, col = "blue", lty = 2)
lines(qalap(seq(0.05, 0.95, by = 0.05), loc, sigma, kappa = kappa),
dalap(qalap(seq(0.05, 0.95, by = 0.05), loc, sigma, kappa = kappa),
loc, sigma, kappa = kappa), col = "purple", lty = 3, type = "h")
lines(x, palap(x, loc, sigma, kappa = kappa), type = "l", col = "red")
abline(h = 0, lty = 2)
palap(qalap(seq(0.05, 0.95, by = 0.05), loc, sigma, kappa = kappa),
loc, sigma, kappa = kappa)
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