R: Cox confidence interval for the ratio of two Poisson...

Cox confidence interval for the ratio of two Poisson variables {Rfast} | R Documentation

## Cox confidence interval for the ratio of two Poisson variables

### Description

Cox confidence interval for the ratio of two Poisson variables.

### Usage

    cox.poisrat(x, y, alpha = 0.05)
    col.coxpoisrat(x, y, alpha = 0.05)

### Arguments

`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.

### Details

Cox confidence interval for the ratio of two Poisson means is calculated.

### Value

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

### Author(s)

Michail Tsagris

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

### References

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.

### See Also

`correls, Table`

### Examples

    x <- rpois(100, 10)
    y <- rpois(100, 10)
    res<-cox.poisrat(x, y)

[Package Rfast version 2.0.4 Index]