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sbinom

Abstract definitions of distributions

Description

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

Usage

sbeta(shape1, shape2)
sbetabinom(size, prob, theta)
sbinom(size, prob)
snbinom(size, prob, mu)
snorm(mean, sd)
spois(lambda)
slnorm(meanlog, sdlog)

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
mean

mean parameter as defined for dnorm
mu

mean parameter as defined for dnbinom
sd

standard deviation parameter as defined for dnorm
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)
meanlog

as defined for dlnorm
sdlog

as defined for dlnorm

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

Examples

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

Tools for General Maximum Likelihood Estimation

v1.0.23.1
GPL
Authors
Ben Bolker [aut, cre], R Development Core Team [aut], Iago Giné-Vázquez [ctb]
Initial release

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