R: Methods for Function prob in Package 'distr'

prob-methods {distr} | R Documentation

## Methods for Function prob in Package ‘distr’

### Description

prob-methods

### Methods

prob

  `signature(object = "BinomParameter")`: returns the slot `prop` of the parameter of the distribution

prob<-

  `signature(object = "BinomParameter")`: modifies the slot `prob` of the parameter of the distribution

prob

  `signature(object = "Binom")`: returns the slot `prop` of the parameter of the distribution

prob<-

  `signature(object = "Binom")`: modifies the slot `prob` of the parameter of the distribution

prob

  `signature(object = "NbinomParameter")`: returns the slot `prop` of the parameter of the distribution

prob<-

  `signature(object = "NbinomParameter")`: modifies the slot `prob` of the parameter of the distribution

prob

  `signature(object = "Nbinom")`: returns the slot `prop` of the parameter of the distribution

prob<-

  `signature(object = "Nbinom")`: modifies the slot `prob` of the parameter of the distribution

prob

  `signature(object = "GeomParameter")`: returns the slot `prop` of the parameter of the distribution (deprecated from 1.9 on)

prob<-

  `signature(object = "GeomParameter")`: modifies the slot `prob` of the parameter of the distribution (deprecated from 1.9 on)

prob

  `signature(object = "Geom")`: returns the slot `prop` of the parameter of the distribution

prob<-

  `signature(object = "Geom")`: modifies the slot `prob` of the parameter of the distribution

prob

  `signature(object = "DiscreteDistribution")`: returns the (named) vector of probabilities for the support points of the distribution.

prob<-

  `signature(object = "DiscreteDistribution")`: generates a new object of class `"DiscreteDistribution"` with the same support as `object` as well as the same `.withSim`, `.withArith`, `.lowerExact`, `.logExact` slots.

prob

  `signature(object = "UnivarLebDecDistribution")`: returns a 2 x n matrix where n is the length of the support of the discrete part of the distribution; the first row named `"cond"` gives the vector of probabilities for the support points of the discrete part of the distribution (i.e.; conditional on being in the discrete part), the second row named `"abs"` is like the first one but multiplied with `discreteWeight` of the distribution, hence gives the absolute probabilities of the support points; the columns are named by the support values.

[Package distr version 2.8.0 Index]