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xactonomial  

Inference for Functions of Multinomial Parameters
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Download and install xactonomial package within the R console
Install from CRAN:
install.packages("xactonomial")

Install from Github:
library("remotes")
install_github("cran/xactonomial")

Install by package version:
library("remotes")
install_version("xactonomial", "1.2.2")



Attach the package and use:
library("xactonomial")
Maintained by
Michael C Sachs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-28
Latest Update: 2025-07-30
Description:
We consider the problem where we observe k vectors (possibly of different lengths), each representing an independent multinomial random vector. For a given function that takes in the concatenated vector of multinomial probabilities and outputs a real number, this is a Monte Carlo estimation procedure of an exact p-value and confidence interval. The resulting inference is valid even in small samples, when the parameter is on the boundary, and when the function is not differentiable at the parameter value, all situations where asymptotic methods and the bootstrap would fail. For more details see Sachs, Fay, and Gabriel (2025) <doi:10.48550/arXiv.2406.19141>.
How to cite:
Michael C Sachs (2025). xactonomial: Inference for Functions of Multinomial Parameters. R package version 1.2.2, https://cran.r-project.org/web/packages/xactonomial. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-04 18:00), 1.0.3 (2025-04-28 15:50), 1.2.0 (2025-07-30 10:00), 1.2.1 (2026-07-30 16:10)
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