poiCI {FSA} R Documentation

## Confidence interval for Poisson counts.

### Description

Computes a confidence interval for the Poisson counts.

### Usage

```poiCI(x, conf.level = 0.95, type = c("exact", "daly", "byar", "asymptotic"),
verbose = FALSE)
```

### Arguments

 `x` A single number or vector that represents the number of observed successes. `conf.level` A number that indicates the level of confidence to use for constructing confidence intervals (default is `0.95`). `type` A string that identifies the type of method to use for the calculations. See details. `verbose` A logical that indicates whether `x` should be included in the returned matrix (`=TRUE`) or not (`=FALSE`; DEFAULT).

### Details

Computes a CI for the Poisson counts using the `exact`, gamma distribution (`daly`‘), Byar’s (`byar`), or normal approximation (`asymptotic`) methods. This is largely a wrapper to `pois.exact`, `pois.daly`, `pois.byar`, and `pois.approx` functions in epitools.

### Value

A #x2 matrix that contains the lower and upper confidence interval bounds as columns and, if `verbose=TRUE` `x`.

### Author(s)

Derek H. Ogle, derek@derekogle.com

See `pois.exact`, `pois.daly`, `pois.byar`, and `pois.approx` in epitools for more description and references.

### Examples

```## Demonstrates using all types at once
poiCI(12)

## Selecting types
poiCI(12,type="daly")
poiCI(12,type="byar")
poiCI(12,type="asymptotic")
poiCI(12,type="asymptotic",verbose=TRUE)
poiCI(12,type=c("exact","daly"))
poiCI(12,type=c("exact","daly"),verbose=TRUE)

## Demonstrates use with multiple inputs
poiCI(c(7,10),type="exact")
poiCI(c(7,10),type="exact",verbose=TRUE)

```

[Package FSA version 0.8.18 Index]