Density, distribution function, quantile function and random generation for multivariate point distribution.

```
dmpoint(x, location, log = FALSE)
rmpoint(n, location)
pmpoint(q, location, lower.tail = TRUE, log.p = FALSE)
qmpoint(p, location, lower.tail = TRUE, log.p = FALSE)
```

- x, q
vector or matrix of quantiles.

- location
vector of locations corresponding to the location of individual points. Alternatively, a matrix with rows corresponding to the location of individual samples and columns correspond to the location of individual points.

- log, log.p
logical; if

`TRUE`

, probabilities`p`

are given as`log(p)`

.- n
number of observations.

- lower.tail
logical; if

`TRUE`

(default), probabilities are \(P[X \le x]\), otherwise, \(P[X \ge x]\).- p
vector of probabilities.

`dpoint`

gives the density, `ppoint`

gives the
distribution function, `qpoint`

gives the quantile function,
and `rpoint`

generates random deviates.

```
# draw samples from a multivariate point distribution
rmpoint(10, location = c(0, 1))
#> [,1] [,2]
#> [1,] 0 1
#> [2,] 0 1
#> [3,] 0 1
#> [4,] 0 1
#> [5,] 0 1
#> [6,] 0 1
#> [7,] 0 1
#> [8,] 0 1
#> [9,] 0 1
#> [10,] 0 1
```