SDistribution: Abstract Special Distribution Class

Description

Abstract class that cannot be constructed directly.

Arguments

Value

Returns error. Abstract classes cannot be constructed directly.

Public Variables

Variable	Return
`name`	Name of distribution.
`short_name`	Id of distribution.
`description`	Brief description of distribution.

Public Methods

Accessor Methods	Link
`decorators`	`decorators`
`traits`	`traits`
`valueSupport`	`valueSupport`
`variateForm`	`variateForm`
`type`	`type`
`properties`	`properties`
`support`	`support`
`symmetry`	`symmetry`
`sup`	`sup`
`inf`	`inf`
`dmax`	`dmax`
`dmin`	`dmin`
`skewnessType`	`skewnessType`
`kurtosisType`	`kurtosisType`

Statistical Methods Link pdf(x1, ..., log = FALSE, simplify = TRUE) pdf cdf(x1, ..., lower.tail = TRUE, log.p = FALSE, simplify = TRUE) cdf quantile(p, ..., lower.tail = TRUE, log.p = FALSE, simplify = TRUE) quantile.Distribution rand(n, simplify = TRUE) rand mean() mean.Distribution variance() variance stdev() stdev prec() prec cor() cor skewness() skewness kurtosis(excess = TRUE) kurtosis entropy(base = 2) entropy mgf(t) mgf cf(t) cf pgf(z) pgf median() median.Distribution iqr() iqr mode(which = "all") mode

Parameter Methods Link parameters(id) parameters getParameterValue(id, error = "warn") getParameterValue setParameterValue(..., lst = NULL, error = "warn") setParameterValue

Validation Methods Link liesInSupport(x, all = TRUE, bound = FALSE) liesInSupport liesInType(x, all = TRUE, bound = FALSE) liesInType

Representation Methods Link strprint(n = 2) strprint print(n = 2) print summary(full = T) summary.Distribution

Active Bindings