Other packages > Find by keyword >

HDMT  

A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses
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]
All associated links for this package
First Published: 2019-04-16
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. Accessed 26 Aug. 2026.
Previous versions and publish date:
1.0.1 (2019-12-05 06:50), 1.0.2 (2020-10-07 06:30), 1.0.3 (2021-02-20 23:30), 1.0.4 (2021-12-06 23:20), 1.0 (2019-04-16 14:42), (2026-07-09 08:06)
Other packages that cited HDMT R package
View HDMT citation profile
Other R packages that HDMT depends, imports, suggests or enhances
Complete documentation for HDMT
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
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  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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