Other packages > Find by keyword >

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 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA