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ump  

Uniformly Most Powerful Tests
View on CRAN: Click here


Download and install ump package within the R console
Install from CRAN:
install.packages("ump")

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

Install by package version:
library("remotes")
install_version("ump", "0.5-8")



Attach the package and use:
library("ump")
Maintained by
Charles J. Geyer
[Scholar Profile | Author Map]
First Published: 2005-05-22
Latest Update: 2017-03-27
Description:
Does uniformly most powerful (UMP) and uniformly most powerful unbiased (UMPU) tests.At present only distribution implemented is binomial distribution.Also does fuzzy tests and confidence intervals (following Geyer and Meeden, 2005, <doi:10.1214/088342305000000340>) for the binomial distribution (one-tailed procedures based on UMP test and two-tailed procedures based on UMPU test).
How to cite:
Charles J. Geyer (2005). ump: Uniformly Most Powerful Tests. R package version 0.5-8, https://cran.r-project.org/web/packages/ump. Accessed 06 May. 2025.
Previous versions and publish date:
0.5-1 (2005-05-22 23:15), 0.5-2 (2007-10-10 07:52), 0.5-3 (2013-03-31 07:54), 0.5-4 (2014-04-02 08:03), 0.5-6 (2015-07-03 00:10)
Other packages that cited ump R package
View ump citation profile
Other R packages that ump depends, imports, suggests or enhances
Complete documentation for ump
Functions, R codes and Examples using the ump R package
Some associated functions: arpv.binom . arpv.plot . fci.binom . umpu.binom . 
Some associated R codes: arpv.binom.R . arpv.plot.R . fci.binom.R . umpu.binom.R .  Full ump package functions and examples
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