ciCTW: Continuity corrected Wald-T method of CI estimation

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Continuity corrected Wald-T method of CI estimation

Description

Continuity corrected Wald-T method of CI estimation

Usage

ciCTW(n, alp, c)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
c	- Continuity correction

Details

Approximate method based on a t_approximation of the standardized point estimator using the test statistic (abs(phat-p)-c)/SE where c > 0 is a constant for continuity correction for all x = 0, 1, 2 ..n. Boundary modifications when x = 0 or x = n using Wald adjustment method with h = 2.

Value

A dataframe with

x	Number of successes (positive samples)
LCTW	T-Wald Lower limit
UCTW	T-Wald Upper Limit
LABB	T-Wald Lower Abberation
UABB	T-Wald Upper Abberation
ZWI	Zero Width Interval

References

[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.

See Also

prop.test and binom.test for equivalent base Stats R functionality, binom.confint provides similar functionality for 11 methods, wald2ci which provides multiple functions for CI calculation , binom.blaker.limits which calculates Blaker CI which is not covered here and propCI which provides similar functionality.

Other Continuity correction methods of CI estimation: PlotciCAS(), PlotciCAllg(), PlotciCAll(), PlotciCLT(), PlotciCSC(), PlotciCTW(), PlotciCWD(), ciCAS(), ciCAll(), ciCLT(), ciCSC(), ciCWD()

Examples

n=5; alp=0.05;c=1/(2*n)
ciCTW(n,alp,c)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.