funsExpTrun: Expected Value for Cuzick and Edwards T_{run} Test statistic

In nnspat: Nearest Neighbor Methods for Spatial Patterns

Expected Value for Cuzick and Edwards T_{run} Test statistic

Description

Two functions: EV.Trun and EV.Trun.alt.

Both functions compute the expected value of Cuzick and Edwards T_{run} test statistic based on the number of consecutive cases from the cases in the data under RL or CSR independence.

The number of cases are denoted as n_1 (denoted as n1 as an argument) and number of controls as n_0 for both functions (denoted as n0 as an argument), to match the case-control class labeling, which is just the reverse of the labeling in \insertCitecuzick:1990;textualnnspat.

The function EV.Trun.alt uses a loop and takes slightly longer than the function EV.Trun, hence EV.Trun is used in other functions.

See also (\insertCitecuzick:1990;textualnnspat).

Usage

EV.Trun(n1, n0)

EV.Trun.alt(n1, n0)

Arguments

n1, n0

The number of cases and controls used as arguments for both functions.

Value

The expected value of Cuzick and Edwards T_{run} test statistic for disease clustering

Author(s)

Elvan Ceyhan

References

\insertAllCited

See Also

ceTrun and EV.Tk

Examples

n1<-20
n0<-25

EV.Trun(n1,n0)

nnspat documentation built on Aug. 30, 2022, 9:06 a.m.