Description Usage Arguments Details Value References See Also Examples
View source: R/103.ConfidenceIntervals_BASE_n_x.R
Likelihood Ratio method of CI estimation
1 | ciLRx(x, n, alp)
|
x |
- Number of successes |
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
Likelihood ratio limits for the given x
and n
obtained as the solution to the equation in p
formed as logarithm of
ratio between binomial likelihood at sample proportion and that of over
all possible parameters
A dataframe with
x |
- Number of successes (positive samples) |
LLRx |
- Likelihood Ratio Lower limit |
ULRx |
- Likelihood Ratio Upper Limit |
LABB |
- Likelihood Ratio Lower Abberation |
UABB |
- Likelihood Ratio Upper Abberation |
ZWI |
- Zero Width Interval |
[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
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 Base methods of CI estimation given x & n: PlotciAllxg
,
PlotciAllx
, PlotciEXx
,
ciASx
, ciAllx
,
ciBAx
, ciEXx
,
ciLTx
, ciSCx
,
ciTWx
, ciWDx
1 2 | x=5; n=5; alp=0.05
ciLRx(x,n,alp)
|
x LLRx ULRx LABB UABB ZWI
1 5 0.6810021 0.9999591 NO NO NO
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