prob-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.

distr documentation built on July 9, 2018, 3 a.m.

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