Other packages > Find by keyword >

LDM  

Testing Hypotheses About the Microbiome using the Linear Decomposition Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LDM", "6.0.1")



Attach the package and use:
library("LDM")
Maintained by
Yi-Juan Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-04
Latest Update: 2023-09-07
Description:
A single analysis path that includes distance-based ordination, global tests of any effect of the microbiome, and tests of the effects of individual taxa with false-discovery-rate (FDR) control. It accommodates both continuous and discrete covariates as well as interaction terms to be tested either singly or in combination, allows for adjustment of confounding covariates, and uses permutation-based p-values that can control for sample correlations. It can be applied to transformed data, and an omnibus test can combine results from analyses conducted on different transformation scales. It can also be used for testing presence-absence associations based on infinite number of rarefaction replicates, testing mediation effects of the microbiome, analyzing censored time-to-event outcomes, and for compositional analysis by fitting linear models to centered-log-ratio taxa count data.
How to cite:
Yi-Juan Hu (2023). LDM: Testing Hypotheses About the Microbiome using the Linear Decomposition Model. R package version 6.0.1, https://cran.r-project.org/web/packages/LDM. Accessed 07 Oct. 2026.
Previous versions and publish date:
6.0 (2023-09-04 11:40), (2026-07-09 08:08)
Other packages that cited LDM R package
View LDM citation profile
Other R packages that LDM depends, imports, suggests or enhances
Complete documentation for LDM
Functions, R codes and Examples using the LDM R package
Full LDM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
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  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
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  
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  

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