cox.poisrat: Cox confidence interval for the ratio of two Poisson...

In Rfast: A Collection of Efficient and Extremely Fast R Functions

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 <[e-mail]>

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)

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.