sbinom

From bbmle v1.0.23.1 by Ben Bolker

Abstract definitions of distributions

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

Keywords: misc

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

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?

Examples

# NOT RUN {
  sbinom(prob=0.2,size=10)
  snbinom(mu=2,size=1.2)
# }

Documentation reproduced from package bbmle, version 1.0.23.1, License: GPL

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