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newFocus  

True Discovery Guarantee by Combining Partial Closed Testings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("newFocus", "1.1")



Attach the package and use:
library("newFocus")
Maintained by
Ningning Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-10
Latest Update: 2021-07-05
Description:
Closed testing has been proved powerful for true discovery guarantee. The computation of closed testing is, however, quite burdensome. A general way to reduce computational complexity is to combine partial closed testings for some prespecified feature sets of interest. Partial closed testings are performed at Bonferroni-corrected alpha level to guarantee the lower bounds for the number of true discoveries in prespecified sets are simultaneously valid. For any post hoc chosen sets of interest, coherence property is used to get the lower bound. In this package, we implement closed testing with globaltest to calculate the lower bound for number of true discoveries, see Ningning Xu et.al (2021) for detailed description.
How to cite:
Ningning Xu (2020). newFocus: True Discovery Guarantee by Combining Partial Closed Testings. R package version 1.1, https://cran.r-project.org/web/packages/newFocus. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0 (2020-07-10 15:40)
Other packages that cited newFocus R package
View newFocus citation profile
Other R packages that newFocus depends, imports, suggests or enhances
Complete documentation for newFocus
Functions, R codes and Examples using the newFocus R package
Some associated functions: choosepath . ctbab . discov . newFocus-package . newFocus . pick . 
Some associated R codes: focus_discovery.R .  Full newFocus package functions and examples
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