dbeta_rvec: The Beta Distribution, Using Multiple Draws

Description

Density, distribution function, quantile function and random generation for the Beta distribution, modified to work with rvecs.

Usage

dbeta_rvec(x, shape1, shape2, ncp = 0, log = FALSE)
pbeta_rvec(q, shape1, shape2, ncp = 0, lower.tail = TRUE, log.p = FALSE)
qbeta_rvec(p, shape1, shape2, ncp = 0, lower.tail = TRUE, log.p = FALSE)
rbeta_rvec(n, shape1, shape2, ncp = 0, n_draw = NULL)

Value

If any of the arguments are rvecs, or if a value for n_draw is supplied, then an rvec
Otherwise an ordinary R vector.

Arguments

x: Quantiles. Can be an rvec.
shape1, shape2: Parameters for beta distribution. Non-negative. See stats::dbeta(). Can be an rvecs.
ncp: Non-centrality parameter. Default is 0. Cannot 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.

Details

Functions dbeta_rvec(), pbeta_rvec(), pbeta_rvec() and rbeta_rvec() work like base R functions dbeta(), pbeta(), qbeta(), and rbeta(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rbeta_rvec() also returns an rvec if a value for n_draw is supplied.

dbeta_rvec(), pbeta_rvec(), pbeta_rvec() and rbeta_rvec() use tidyverse vector recycling rules:

Vectors of length 1 are recycled
All other vectors must have the same size

Examples

Run this code

x <- rvec(list(c(0, 0.25),
               c(0.5, 0.99)))
dbeta_rvec(x, shape1 = 1, shape2 = 1)
pbeta_rvec(x, shape1 = 1, shape2 = 1)

rbeta_rvec(n = 2,
           shape = 1:2,
           shape2 = 1,
           n_draw = 1000)

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