Nbinom-class

0th

Percentile

Class "Nbinom"

The negative binomial distribution with size $= n$, by default $=1$, and prob $= p$, by default $=0.5$, has density $$ d(x) = \frac{\Gamma(x+n)}{\Gamma(n) x!} p^n (1-p)^x$$ for $x = 0, 1, 2, \ldots$

This represents the number of failures which occur in a sequence of Bernoulli trials before a target number of successes is reached. C.f. rnbinom

Keywords
distribution
Note

Working with a computer, we use a finite interval as support which carries at least mass 1-getdistrOption("TruncQuantile").

Objects from the Class

Objects can be created by calls of the form Nbinom(prob, size). This object is a negative binomial distribution.

Slots

img
Object of class "Naturals": The space of the image of this distribution has got dimension 1 and the name "Natural Space".
param
Object of class "NbinomParameter": the parameter of this distribution (prob, size), declared at its instantiation
r
Object of class "function": generates random numbers (calls function rnbinom)
d
Object of class "function": density function (calls function dnbinom)
p
Object of class "function": cumulative function (calls function pnbinom)
q
Object of class "function": inverse of the cumulative function (calls function qnbinom). The quantile is defined as the smallest value $x$ such that $F(x) \ge p$, where $F$ is the distribution function.
support
Object of class "numeric": a (sorted) vector containing the support of the discrete density function
.withArith
logical: used internally to issue warnings as to interpretation of arithmetics
.withSim
logical: used internally to issue warnings as to accuracy
.logExact
logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExact
logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
Symmetry
object of class "DistributionSymmetry"; used internally to avoid unnecessary calculations.

Extends

Class "DiscreteDistribution", directly. Class "UnivariateDistribution", by class "DiscreteDistribution". Class "Distribution", by class "DiscreteDistribution".

Methods

initialize
signature(.Object = "Nbinom"): initialize method
prob
signature(object = "Nbinom"): returns the slot prob of the parameter of the distribution
prob<-
signature(object = "Nbinom"): modifies the slot prob of the parameter of the distribution
size
signature(object = "Nbinom"): returns the slot size of the parameter of the distribution
size<-
signature(object = "Nbinom"): modifies the slot size of the parameter of the distribution
+
signature(e1 = "Nbinom", e2 = "Nbinom"): For the negative binomial distribution we use its closedness under convolutions.

See Also

NbinomParameter-class Geom-class DiscreteDistribution-class Naturals-class rnbinom

Aliases
  • Nbinom-class
  • Nbinom
  • initialize,Nbinom-method
Examples
N <- Nbinom(prob = 0.5, size = 1) # N is a binomial distribution with prob=0.5 and size=1.
r(N)(1) # one random number generated from this distribution, e.g. 3
d(N)(1) # Density of this distribution is  0.25 for x=1.
p(N)(0.4) # Probability that x<0.4 is 0.5.
q(N)(.1) # x=0 is the smallest value x such that p(B)(x)>=0.1.
size(N) # size of this distribution is 1.
size(N) <- 2 # size of this distribution is now 2.
Documentation reproduced from package distr, version 2.6, License: LGPL-3

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