wald.poisrat: Wald confidence interval for the ratio of two Poisson...

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Wald confidence interval for the ratio of two Poisson variables

Description

Wald confidence interval for the ratio of two Poisson variables.

Usage

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

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

Value

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.

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

censpois.mle,

Examples

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

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.