ssdtools (version 0.3.7)

dllog: Log-Logistic Distribution

Description

Probability density, cumulative distribution, inverse cumulative distribution, random sample and starting values functions.

Usage

dllog(x, locationlog = 0, scalelog = 1, log = FALSE)
qllog(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)
pllog(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)
rllog(n, locationlog = 0, scalelog = 1)
sllog(x)
dllogis(x, locationlog = 0, scalelog = 1, log = FALSE)
pllogis(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)
qllogis(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)
rllogis(n, locationlog = 0, scalelog = 1)
sllogis(x)

Arguments

x

A numeric vector of values.

locationlog

location on log scale parameter.

scalelog

scale on log scale parameter.

log

logical; if TRUE, probabilities p are given as log(p).

p

vector of probabilities.

lower.tail

logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x].

log.p

logical; if TRUE, probabilities p are given as log(p).

q

vector of quantiles.

n

number of observations.

Value

A numeric vector.

Details

The llog distribution has been deprecated for the identical llogis distribution.

See Also

stats::dlogis()

Examples

# NOT RUN {
x <- seq(0.01, 5, by = 0.01)
plot(x, dllogis(x), type = "l")
# }