OwensQ {PowerTOST}R Documentation

Owen's Q-function

Description

Calculates Owen’s Q function.

Usage

OwensQ(nu, t, delta, a=0, b)

Arguments

nu

degree of Owen’s Q

t

parameter t

delta

parameter delta

a

lower integration limit, only a=0 implemented

b

upper integration limit

Details

Uses the relationship to non-central t-distribution (see Chou)

⁠ OwensQ = pt(t, df=nu, ncp=delta) - Integal_b_Inf(Q_integrand)⁠

The definite integral is numerically evaluated using integrate after a variables transformation resulting in the integration range from 0 to 1 instead of the semi-infinite original range. This may result in higher precision and better numerical stability.

The arguments to the function must be scalars. No vectors allowed.

Value

Numeric value of Owen’s Q-function at given input arguments.

Note

This function is intended for internal use in the power calculations.
But may be useful for others.

Author(s)

D. Labes

References

Owen DB. A special case of a bivariate non-central t-distribution. Biometrika. 1965;52(3/4):437–46. doi:10.2307/2333696

Chou YM. A bivariate noncentral T-distibution with applications. Commun Stat Theory Methods. 1992;21(12):3427–62. doi:10.1080/03610929208830988

See Also

OwensQOwen

Examples

# This function is mainly intended for internal use.
OwensQ(10, 2.5, 5, 0, 2)
#should give [1] 9.388137e-06 
OwensQ(10, -2.5, -5, 0, 2)
#should give [1] 0.05264363 

[Package PowerTOST version 1.5-6 Index]