ciCAll: CI estimation of 5 continuity corrected methods (Wald,...

View source: R/121.ConfidenceIntervals_CC_n.R

ciCAllR Documentation

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

ciCAll(n, alp, c)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

c

- Continuity correction

Details

The Confidence Interval on 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) for n given alp along with Continuity correction c

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

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(), ciCLT(), ciCSC(), ciCTW(), ciCWD()

Examples

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

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