Description Usage Arguments Details Value References See Also Examples
View source: R/201.CoverageProb_BASE_All.R
Coverage Probability using 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)
1 | covpAll(n, alp, a, b, t1, t2)
|
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
a |
- Beta parameters for hypo "p" |
b |
- Beta parameters for hypo "p" |
t1 |
- Lower tolerance limit to check the spread of coverage Probability |
t2 |
- Upper tolerance limit to check the spread of coverage Probability |
The Coverage Probability of 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)
A dataframe with
method |
method name |
MeanCP |
Coverage Probability |
MinCP |
Minimum coverage probability |
RMSE_N |
Root Mean Square Error from nominal size |
RMSE_M |
Root Mean Square Error for Coverage Probability |
RMSE_MI |
Root Mean Square Error for minimum coverage probability |
tol |
Required tolerance for coverage probability |
[1] 1993 Vollset SE. Confidence intervals for a binomial proportion. Statistics in Medicine: 12; 809 - 824.
[2] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.
[3] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.
[4] 2001 Brown LD, Cai TT and DasGupta A. Interval estimation for a binomial proportion. Statistical Science: 16; 101 - 133.
[5] 2002 Pan W. Approximate confidence intervals for one proportion and difference of two proportions Computational Statistics and Data Analysis 40, 128, 143-157.
[6] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.
[7] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529
Other Basic coverage probability methods: PlotcovpAS
,
PlotcovpAll
, PlotcovpBA
,
PlotcovpEX
, PlotcovpLR
,
PlotcovpLT
, PlotcovpSC
,
PlotcovpTW
, PlotcovpWD
,
covpAS
, covpBA
,
covpEX
, covpLR
,
covpLT
, covpSC
,
covpTW
, covpWD
1 2 3 4 5 | ## Not run:
n= 10; alp=0.05; a=1;b=1; t1=0.93;t2=0.97
covpAll(n,alp,a,b,t1,t2)
## End(Not run)
|
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