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SlaPMEG
View on CRAN: Click
here
Download and install SlaPMEG package within the R console
Install from CRAN:
install.packages("SlaPMEG")
Install from Github:
library("remotes")
install_github("cran/SlaPMEG") Install by package version:
library("remotes")
install_version("SlaPMEG", "1.0.2") Attach the package and use:
library("SlaPMEG")
Maintained by
Mitra Ebrahimpoor
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-23
Latest Update:
Description:
A self-contained hypothesis is tested for a given pathway of longitudinal omics. 'SlaPMEG' is a two-step procedure. First, a shared latent process mixed model is fitted over the longitudinal measures of omics in a pathway. This shared model allows deviation from the shared process at subject level (a random intercept, slope, or both per subject) and also at omic level (a random effect per omic). These random effects summarize the longitudinal trend of the observations which can be used to test for group differences using 'Globaltest' in the second step. If the pathway is large or the shared effect is small, the package fits a series of pairwise models and estimates the shared random effects based on them.
How to cite:
Mitra Ebrahimpoor (2020). SlaPMEG: Pathway Testing for Longitudinal Omics. R package version 1.0.2, https://cran.r-project.org/web/packages/SlaPMEG. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Complete documentation for SlaPMEG
Functions, R codes and Examples using
the SlaPMEG R package
Some associated functions: multslapmeg . pairsetinval . pairslapmeg . plotslapmeg . print.mslapmeg . print.slapmeg . setinval . simslapmeg . slapGT . slapmeg . summary.mslapmeg . summary.slapmeg .
Some associated R codes: multslapmeg.R . pairsetinval.R . pairslapmeg.R . plotslapmeg.R . print.mslapmeg.R . print.slapmeg.R . setinval.R . simslapmeg.R . slapGT.R . slapmeg.R . summary.mslapmeg.R . summary.slapmeg.R . Full SlaPMEG package functions and examples
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