Generate random samples from a Beta Prime distribution

Usage

r_bp(lots, n, mu, phi, ...)

Arguments

lots: The number of samples to generate
n: The number of observations in each sample
mu: The mean parameter of the Beta Prime distribution
phi: The shape parameter of the Beta Prime distribution
...: Additional arguments to be passed to extraDistr::rbetapr

Value

A matrix of random samples from the Beta Prime distribution

Examples

r_bp(lots = 10, n = 5, mu = 1, phi = 2)
#>                 n_1       n_2        n_3       n_4       n_5
#> sample_1  0.2302073 1.2341151 2.07422822 0.9240232 1.1281536
#> sample_2  0.5820652 0.2604040 0.55373900 0.1207785 1.1279106
#> sample_3  3.9715737 1.2102904 0.60629696 0.6151840 1.1569739
#> sample_4  0.5590145 0.6262671 0.34946576 0.1672226 0.6406254
#> sample_5  4.1138609 0.6744082 0.16932036 0.7975935 0.5907854
#> sample_6  0.5325512 0.7263505 0.46881343 2.9436681 0.5992428
#> sample_7  0.2632779 0.4839644 0.07192746 0.4366951 1.5038662
#> sample_8  0.6458324 0.5095553 0.85727526 0.1930142 2.8862364
#> sample_9  0.4978923 0.6052799 0.80332268 1.2107796 0.4418276
#> sample_10 0.7432300 0.8677468 0.23772638 0.4156168 0.4693208