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Probability density, cumulative distribution, inverse cumulative distribution, random sample and starting values functions.
dgompertz(x, llocation = 0, lshape = 0, log = FALSE)pgompertz(q, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)qgompertz(p, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)rgompertz(n, llocation = 0, lshape = 0)sgompertz(x)
pgompertz(q, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)
qgompertz(p, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)
rgompertz(n, llocation = 0, lshape = 0)
sgompertz(x)
A numeric vector of values.
location parameter on the log scale.
shape parameter on the log scale.
logical; if TRUE, probabilities p are given as log(p).
vector of quantiles.
logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x].
P[X <= x]
P[X > x]
vector of probabilities.
number of observations.
A numeric vector.
stats::dgamma()
# NOT RUN { x <- seq(0.01, 5, by = 0.01) plot(x, dgompertz(x), type = "l") # }
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