sbinom: Abstract definitions of distributions In bbmle: Tools for General Maximum Likelihood Estimation

 sbinom 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)
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

`dbinom`, `dpois`, `dnorm`, `dnbinom`
```  sbinom(prob=0.2,size=10)