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README.md
In proportion: Inference on Single Binomial Proportion and Bayesian Computations
proportion
R package for proportion
Multiple procedures to obtain an interval estimate for an unknown
proportion (p) based on binomial sampling. It is known that approximations
are poor when the true p is close to zero or to one. So we provide alternative
procedures with better properties. Non-iterative methods widely discussed
in litrature for computing a (central) two-sided interval estimate for p are
implemented in terms of coverage probability and expected length.
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proportion documentation built on May 1, 2019, 7:54 p.m.
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proportion
R package for proportion
Multiple procedures to obtain an interval estimate for an unknown proportion (p) based on binomial sampling. It is known that approximations are poor when the true p is close to zero or to one. So we provide alternative procedures with better properties. Non-iterative methods widely discussed in litrature for computing a (central) two-sided interval estimate for p are implemented in terms of coverage probability and expected length.
Try the proportion package in your browser
Any scripts or data that you put into this service are public.
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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