The Blaker exact confidence interval for the binomial probability Described in Chapter 2 "The 1x2 Table and the Binomial Distribution"
Blaker_exact_CI_1x2(X, n, alpha = 0.05)
An object of the contingencytables_result class,
basically a subclass of base::list()
. Use the utils::str()
function
to see the specific elements returned.
Blaker H (2000) Confidence curves and improved exact confidence intervals for discrete distributions. The Canadian Journal of Statistics; 28:783-798
Blaker_exact_CI_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"])
#> The Blaker exact CI: estimate = 0.4690 (95% CI 0.4267 to 0.5122)
Blaker_exact_CI_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"])
#> The Blaker exact CI: estimate = 0.4951 (95% CI 0.4465 to 0.5438)
Blaker_exact_CI_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"])
#> The Blaker exact CI: estimate = 0.6168 (95% CI 0.5391 to 0.6897)
with(singh_2010["4th", ], Blaker_exact_CI_1x2(X, n)) # alternative syntax
#> The Blaker exact CI: estimate = 0.7333 (95% CI 0.5890 to 0.8515)
Blaker_exact_CI_1x2(ligarden_2010["X"], ligarden_2010["n"])
#> The Blaker exact CI: estimate = 0.8125 (95% CI 0.5656 to 0.9469)