Class: distribution.truncated.normal.class

Derived class for an normally-distributed random variable with interval truncation.

Super classes

R6.class.class -> distribution.abstract.class -> distribution.truncated.class -> distribution.truncated.normal.class

Active bindings

mean

The mean of a normal distribution with mean $params$mean and standard deviation $params$sd truncated to [$t0, $t1].

sd

The standard deviation of a normal distribution with mean $params$mean and standard deviation $params$sd truncated to [$t0, $t1].

var

The variance of a normal distribution with mean $params$mean and standard deviation $params$sd truncated to [$t0, $t1].

interfaces

The list of available class interfaces

Methods

Public methods

• distribution.truncated.normal.class$new()

• distribution.truncated.normal.class$clone()

Inherited methods

• distribution.truncated.class$d()
• distribution.truncated.class$p()
• distribution.truncated.class$q()
• distribution.truncated.class$r()

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distribution.truncated.normal.class$new()

Create a new object of class distribution.truncated.normal.class

Usage

distribution.truncated.normal.class$new(mean = 0, sd = 1, t0 = 0, t1 = Inf)

Arguments

mean

The mean of the untruncated normal distribution.

sd

The standard deviation of the untruncated normal distribution.

t0

Lower bound for truncation

t1

Upper bound for truncation

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distribution.truncated.normal.class$clone()

The objects of this class are cloneable with this method.

Usage

distribution.truncated.normal.class$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.