Other packages > Find by keyword >

SetTest  

Group Testing Procedures for Signal Detection and Goodness-of-Fit
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SetTest", "0.3.0")



Attach the package and use:
library("SetTest")
Maintained by
Hong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-11
Latest Update: 2018-03-22
Description:
It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and Statistical Power of Optimal Signal-Detection Methods In Finite Cases", submitted.
How to cite:
Hong Zhang (2017). SetTest: Group Testing Procedures for Signal Detection and Goodness-of-Fit. R package version 0.3.0, https://cran.r-project.org/web/packages/SetTest. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2017-02-11 17:43), 0.2.0 (2018-03-22 06:24)
Other packages that cited SetTest R package
View SetTest citation profile
Other R packages that SetTest depends, imports, suggests or enhances
Complete documentation for SetTest
Functions, R codes and Examples using the SetTest R package
Some associated functions: pbj . phc . power.bj . power.hc . power.phi . pphi . pphi.omni . qbj . qhc . qphi . stat.bj . stat.hc . stat.phi . stat.phi.omni . test.bj . test.hc . test.phi . test.phi.omni . 
Some associated R codes: internal.R . pbj.R . phc.R . power.bj.R . power.hc.R . power.phi.R . pphi.R . pphi.omni.R . qbj.R . qhc.R . qphi.R . stat.bj.R . stat.hc.R . stat.phi.R . stat.phi.omni.R . test.bj.R . test.hc.R . test.phi.R . test.phi.omni.R .  Full SetTest package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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