Density, distribution function, quantile function and random generation for the exponential distribution, modified to work with rvecs.
Usage
dexp_rvec(x, rate = 1, log = FALSE)
pexp_rvec(q, rate = 1, lower.tail = TRUE, log.p = FALSE)
qexp_rvec(p, rate = 1, lower.tail = TRUE, log.p = FALSE)
rexp_rvec(n, rate = 1, n_draw = NULL)Arguments
- x
- Quantiles. Can be an rvec. 
- rate
- Vector of rates. See - stats::dexp(). Can be an rvec.
- log, log.p
- Whether to return results on a log scale. Default is - FALSE. Cannot be an rvec.
- q
- Quantiles. Can be an rvec. 
- lower.tail
- Whether to return \(P[X \le x]\), as opposed to \(P[X > x]\). Default is - TRUE. Cannot be an rvec.
- p
- Probabilities. Can be an rvec. 
- n
- The length of random vector being created. Cannot be an rvec. 
- n_draw
- Number of random draws in the random vector being created. Cannot be an rvec. 
Value
- If any of the arguments are rvecs, or if a value for - n_drawis supplied, then an rvec
- Otherwise an ordinary R vector. 
Details
Functions dexp_rvec(), pexp_rvec(),
pexp_rvec() and rexp_rvec() work like
base R functions dexp(), pexp(),
qexp(), and rexp(), except that
they accept rvecs as inputs. If any
input is an rvec, then the output will be too.
Function rexp_rvec() also returns an
rvec if a value for n_draw is supplied.
dexp_rvec(), pexp_rvec(),
pexp_rvec() and rexp_rvec()
use tidyverse
vector recycling rules:
- Vectors of length 1 are recycled 
- All other vectors must have the same size 
Examples
x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
dexp_rvec(x, rate = 1.5)
#> <rvec_dbl<2>[2]>
#> [1] 0.01666,0.0007141 1.291,0.04762    
pexp_rvec(x, rate = 1.5)
#> <rvec_dbl<2>[2]>
#> [1] 0.9889,0.9995 0.1393,0.9683
rexp_rvec(n = 2,
          rate = c(1.5, 4),
          n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.46 (0.02, 2.5)    0.18 (0.0082, 0.88)