Normal-class: Normal random variable

In rtlemos/rcdistr: Probabilistic programming language

Description

Normal random variable

Methods

cdf(x = NULL, lower.tail = TRUE, log.p = FALSE, verbose = FALSE, ...)

Computes the Normal cdf(x)

given(variable, value, permanent = FALSE)

If permanent = FALSE, returns a new variable conditioned on a fixed value of one of the its dependencies. If permanent = TRUE, modifies the current variable (i.e., .self) permanently.

iget.optimization.parameters()

This function should be replaced with another that does not return NULL, when auxiliary parameters exist.

initialize(package.name = "anonymous", object.name = "anonymous", verbose = TRUE, autoconstruct = FALSE, conf = NULL)

Default method to initialize basic objects

invcdf(p = NULL, lower.tail = TRUE, log.p = FALSE, verbose = FALSE)

Computes quantiles associated with input probability(ies)

pdf(x = NULL, log = FALSE, verbose = FALSE, ...)

Provides either the pdf or its evaluation for given x

rand(n = 1, from.marginal = FALSE)

Generates n (multivariate) normal variates

rtlemos/rcdistr documentation built on May 28, 2019, 9:55 a.m.