sbinom {bbmle}R Documentation

Abstract definitions of distributions

Description

Functions returning values for summary statistics (mean, median, etc.) of distributions

Usage

sbinom(size, prob)
snbinom(size, prob, mu)
spois(lambda)
sbeta(shape1, shape2)
sbetabinom(size, prob, theta)

Arguments

prob probability as defined for dbinom, dnbinom, or beta-binomial distribution (dbetabinom in the emdbook package)
size size parameter as defined for dbinom or dbetabinom in the emdbook package, or size/overdispersion parameter as in dnbinom
mu mean parameter as defined for dnbinom
shape1 shape parameter for dbeta
shape2 shape parameter for dbeta
lambda rate parameter as defined for dpois
theta overdispersion parameter for beta-binomial (see dbetabinom in the emdbook package)

Value

title name of the distribution
[parameters] input parameters for the distribution
mean theoretical mean of the distribution
median theoretical median of the distribution
mode theoretical mode of the distribution
variance theoretical variance of the distribution
sd theoretical standard deviation of the distribution

Note

these definitions are tentative, subject to change as I figure this out better. Perhaps construct functions that return functions? Strip down results? Do more automatically?

Author(s)

Ben Bolker

See Also

dbinom,dpois, dnbinom

Examples

  sbinom(prob=0.2,size=10)
  snbinom(mu=2,size=1.2)

[Package bbmle version 0.9.0 Index]