proportion (version 2.0.0)

ciCAllx: CI estimation of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)

Description

CI estimation of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)

Usage

ciCAllx(x, n, alp, c)

Arguments

x

- Number of sucess

n

- Number of trials

alp

- Alpha value (significance level required)

c

- Continuity correction

Value

A dataframe with

method

- Name of the method

x

- Number of successes (positive samples)

LLT

- Lower limit

ULT

- Upper Limit

LABB

- Lower Abberation

UABB

- Upper Abberation

ZWI

- Zero Width Interval

Details

The Confidence Interval of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) for n given alp and x

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 given x and n: PlotciCAllxg, PlotciCAllx, ciCLTx, ciCSCx, ciCTWx, ciCWDx

Examples

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