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MixTwice  

Large-Scale Hypothesis Testing by Variance Mixing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MixTwice", "2.0")



Attach the package and use:
library("MixTwice")
Maintained by
Zihao Zheng
[Scholar Profile | Author Map]
First Published: 2021-01-22
Latest Update: 2022-03-02
Description:
Implements large-scale hypothesis testing by variance mixing. It takes two statistics per testing unit -- an estimated effect and its associated squared standard error -- and fits a nonparametric, shape-constrained mixture separately on two latent parameters. It reports local false discovery rates (lfdr) and local false sign rates (lfsr). Manuscript describing algorithm of MixTwice: Zheng et al(2021) .
How to cite:
Zihao Zheng (2021). MixTwice: Large-Scale Hypothesis Testing by Variance Mixing. R package version 2.0, https://cran.r-project.org/web/packages/MixTwice. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.1 (2021-01-22 10:40)
Other packages that cited MixTwice R package
View MixTwice citation profile
Other R packages that MixTwice depends, imports, suggests or enhances
Complete documentation for MixTwice
Functions, R codes and Examples using the MixTwice R package
Some associated functions: MixTwice-package . mixtwice . peptide_data . 
Some associated R codes: mixtwice.R .  Full MixTwice package functions and examples
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