The Blaker mid-P test

Source: R/Blaker_midP_test_1x2.R

The Blaker mid-P test for the binomial probability (pi) H_0: pi = pi0 vs H_A: pi ~= pi0 (two-sided) Described in Chapter 2 "The 1x2 Table and the Binomial Distribution"

Blaker_midP_test_1x2(X, n, pi0)

Arguments

X

the number of successes

n

the total number of observations

pi0

a given probability

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

References

Blaker H (2000) Confidence curves and improved exact confidence intervals for discrete distributions. The Canadian Journal of Statistics; 28:783-798

Examples

Blaker_midP_test_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"], pi0 = 0.513)
#> The Blaker mid-P test: P = 0.04394
Blaker_midP_test_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"], pi0 = 0.513)
#> The Blaker mid-P test: P = 0.47520
Blaker_midP_test_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"], pi0 = 0.513)
#> The Blaker mid-P test: P = 0.00748
Blaker_midP_test_1x2(singh_2010["4th", "X"], singh_2010["4th", "n"], pi0 = 0.513)
#> The Blaker mid-P test: P = 0.00338
Blaker_midP_test_1x2(ligarden_2010["X"], ligarden_2010["n"], pi0 = 0.5)
#> The Blaker mid-P test: P = 0.00845