scimp_wilson: Wilson Confidence Interval
In hrbrmstr/scimple: Tidy Simultaneous Confidence Intervals for Multinomial Proportions
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
The simultaneous confidence interval for multinomial proportions based on the method proposed in Wilson (1927)
Usage
1
scimp_wilson(inpmat, alpha)
Arguments
inpmat
the cell counts of given contingency tables corresponding to categorical data
alpha
a number in [0..1] to get the upper 100(1-alpha) percentage point of the chi square distribution
Value
tibble with original and adjusted limits of multinomial proportions together with product of length of k intervals as volume of simultaneous confidence intervals
Author(s)
Dr M Subbiah
References
E.B. Wilson, Probable inference, the law of succession and statistical inference, J.Am. Stat. Assoc. 22 (1927) 209-212.
Examples
1
2
3
y <- c(44, 55, 43, 32, 67, 78)
z <- 0.05
scimp_wilson(y, z)
hrbrmstr/scimple documentation built on April 9, 2020, 9:57 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
The simultaneous confidence interval for multinomial proportions based on the method proposed in Wilson (1927)
Usage
1 | scimp_wilson(inpmat, alpha)
|
Arguments
inpmat |
the cell counts of given contingency tables corresponding to categorical data |
alpha |
a number in |
Value
tibble with original and adjusted limits of multinomial proportions together with product of length of k intervals as volume of simultaneous confidence intervals
Author(s)
Dr M Subbiah
References
E.B. Wilson, Probable inference, the law of succession and statistical inference, J.Am. Stat. Assoc. 22 (1927) 209-212.
Examples
1 2 3 | y <- c(44, 55, 43, 32, 67, 78)
z <- 0.05
scimp_wilson(y, z)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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