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[Stable]

This generates random numbers from a truncated Exponential distribution, i.e. from X | X > l or X | X < r when X ~ Exp(rate). The advantage here is that we guarantee to return exactly n numbers and without using a loop internally. This can be derived from the quantile functions of the left- and right-truncated Exponential distributions.

Usage

rtexp(n, rate, l = NULL, r = NULL)

Arguments

n

(numeric)
Number of random numbers.

rate

(numeric)
Non-negative rate.

l

(numeric)
Positive left-hand truncation parameter.

r

(numeric)
Positive right-hand truncation parameter.

Value

The random numbers. If neither l nor r are provided then the usual Exponential distribution is used.

Examples

x <- stats::rexp(1e6, rate = 5)
x <- x[x > 0.5]
hist(x)


y <- rtexp(1e6, rate = 5, l = 0.5)
hist(y)


z <- rtexp(1e6, rate = 5, r = 0.5)
hist(z)