Class: distribution.discrete.class — distribution.discrete.class • mastiff

Base class for univariate discrete distributions

Super classes

R6.class.class -> distribution.abstract.class -> distribution.discrete.class

interfaces: The list of available class interfaces.
support: The support of the distribution, i.e. the subset of values for which the density is positive,

Inherited methods

Create a new object of class distribution.discrete.class

distribution.discrete.class$new(support = c(0, Inf))

support: The support of the distribution, i.e. the subset of integers for which the density is positive.

Evaluates the distribution function of a discrete random variable with finite integer support given density function $d()

distribution.discrete.class$p(q, lower.tail = TRUE, log.p = FALSE)

q: vector of quantiles.
lower.tail: logical; if TRUE (default), probabilities are $P[ X \leq x ]$, otherwise, $P[X>x]$.
log.p: logical; if TRUE, probabilities p are given as log(p).

Evaluates the distribution function of a discrete random variable with finite integer support given distribution function $p()

distribution.discrete.class$q(p, lower.tail = TRUE, log.p = FALSE)

p: vector of probabilities.
lower.tail: logical; if TRUE (default), probabilities are $P[ X \leq x ]$, otherwise, $P[X>x]$.
log.p: logical; if TRUE, probabilities p are given as log(p).

The objects of this class are cloneable with this method.

distribution.discrete.class$clone(deep = FALSE)