R: Abstract definitions of distributions

sbinom {bbmle} | R Documentation

## 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)

### 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)

### 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`, `dnorm`, `dnbinom`

### Examples

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

[Package bbmle version 1.0.19 Index]