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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]
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 01 May. 2025.
Previous versions and publish date:
6.0 (2023-09-04 11:40)
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
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