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HDMT
View on CRAN: Click
here
Download and install HDMT package within the R console
Install from CRAN:
install.packages("HDMT")
Install from Github:
library("remotes")
install_github("cran/HDMT")
Install by package version:
library("remotes")
install_version("HDMT", "1.0.5")
Attach the package and use:
library("HDMT")
Maintained by
James Dai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-05
Latest Update: 2022-01-29
Description:
A multiple-testing procedure for high-dimensional mediation hypotheses. Mediation analysis is of rising interest in epidemiology and clinical trials. Among existing methods for mediation analyses, the popular joint significance (JS) test yields an overly conservative type I error rate and therefore low power. In the R package 'HDMT' we implement a multiple-testing procedure that accurately controls the family-wise error rate (FWER) and the false discovery rate (FDR) when using JS for testing high-dimensional mediation hypotheses. The core of our procedure is based on estimating the proportions of three component null hypotheses and deriving the corresponding mixture distribution of null p-values. Results of the data examples include better-behaved quantile-quantile plots and improved detection of novel mediation relationships on the role of DNA methylation in genetic regulation of gene expression. With increasing interest in mediation by molecular intermediaries such as gene expression, the proposed method addresses an unmet methodological challenge. Methods used in the package refer to James Y. Dai, Janet L. Stanford & Michael LeBlanc (2020) .
How to cite:
James Dai (2019). HDMT: A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses. R package version 1.0.5, https://cran.r-project.org/web/packages/HDMT
Previous versions and publish date:
Other packages that cited HDMT R package
View HDMT citation profile
Other R packages that HDMT depends,
imports, suggests or enhances
Functions, R codes and Examples using
the HDMT R package
Some associated functions: adjust_quantile . correct_qqplot . exercise_input . fdr_est . fwer_est . null_estimation . snp_input .
Some associated R codes: adjust_quantile.R . correct_qqplot.R . fdr_est.R . fwer_est.R . null_estimation.R . Full HDMT package functions and examples
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