Wald confidence interval for the ratio of two Poisson variables | R Documentation |

Wald confidence interval for the ratio of two Poisson variables.

```
wald.poisrat(x, y, alpha = 0.05)
col.waldpoisrat(x, y, alpha = 0.05)
```

`x` |
A numeric vector or a matrix with count data. |

`y` |
A numeric vector or a matrix with count data. |

`alpha` |
The 1 - confidence level. The default value is 0.05. |

wald confidence interval for the ratio of two Poisson means is/are calculated.

For the wald.poisrat a vector with three elements, the ratio and the lower and upper confidence interval limits. For the col.waldpoisrat a matrix with three columns, the ratio and the lower and upper confidence interval limits.

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

Krishnamoorthy K., Peng J. and Zhang D. (2016). Modified large sample confidence intervals for Poisson distributions: Ratio, weighted average, and product of means. Communications in Statistics-Theory and Methods, 45(1): 83-97.

```
censpois.mle,
```

```
x <- rpois(100, 10)
y <- rpois(100, 10)
wald.poisrat(x, y)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.