Package: regmed 2.1.0

regmed: Regularized Mediation Analysis

Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).

Authors:Jason Sinnwell [aut, cre], Daniel Schaid [aut]

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regmed.pdf |regmed.html✨
regmed/json (API)
NEWS

# Install 'regmed' in R:
install.packages('regmed', repos = c('https://sinnweja.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • med - Simulated dataset for regmed package
  • x - Simulated dataset for regmed package
  • y - Simulated dataset for regmed package

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

23 exports 2 stars 0.23 score 26 dependencies 5 scripts 252 downloads

Last updated 2 years agofrom:99e05fccb9. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64NOTESep 07 2024
R-4.5-linux-x86_64NOTESep 07 2024
R-4.4-win-x86_64NOTESep 07 2024
R-4.4-mac-x86_64NOTESep 07 2024
R-4.4-mac-aarch64NOTESep 07 2024
R-4.3-win-x86_64NOTESep 07 2024
R-4.3-mac-x86_64NOTESep 07 2024
R-4.3-mac-aarch64NOTESep 07 2024

Exports:mvregmed.edgesmvregmed.fitmvregmed.gridmvregmed.grid.bestfitmvregmed.lavaan.datmvregmed.lavaan.modelplot.mvregmed.edgesplot.mvregmed.gridplot.regmed.edgesplot.regmed.gridprint.regmedprint.regmed.gridregmed.edgesregmed.fitregmed.gridregmed.grid.bestfitregmed.lavaan.datregmed.lavaan.modelregmed.prefiltersummary.lavaansummary.mvregmedsummary.mvregmed.gridsummary.regmed

Dependencies:clicpp11evaluateglassogluegtoolshighrigraphknitrlatticelavaanlifecyclemagrittrMASSMatrixmnormtnumDerivpbivnormpkgconfigquadprogRcppRcppArmadillorlangvctrsxfunyaml

Regularized_Mediation_Examples

DJ Schaid, JP Sinnwell

Rendered fromregmed.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2023-01-20
Started: 2021-04-12

Readme and manuals

Help Manual

Help pageTopics
Regularized Mediation Analysisregmed-package regmed
Simulated dataset for regmed packagemed medsim x y
Helper function to check x, y, mediator for input to mvregmed functionsmvregmed.dat.check regmed.dat.check
For an object of class mvregmed, create edges for a graph object that can be used for plots, or for creating models input to lavaan function semmvregmed.edges plot.mvregmed.edges
Multivariate regularized mediation modelmvregmed.fit
Setup attributes of graph object for plottingmvregmed.graph.attributes
Fit a grid of mvregmed models over a vector of lambda penalty parametersmvregmed.grid summary.mvregmed.grid
Choose best fit model from a grid search based on minimum Bayesian Information Criterionmvregmed.grid.bestfit
Helper function to summarize fits of models across a grid of lambda valuesmvregmed.grid.data
Helper function to update parameters in a grid searchmvregmed.grid.update
Helper function to setup data and parameters for input to mvregmed.fit and mvregmed.gridmvregmed.init
Set up data to input to lavaan semmvregmed.lavaan.dat
Setup a model for input to lavaanmvregmed.lavaan.model
Plot penalty parameter lambda versus BIC for model fitsplot.mvregmed.grid
Plots for regmed.grid object.plot.regmed.grid
For an object of class regmed, create edges for a graph object that can be used for plots, or for creating models input to lavaan function semplot.regmed.edges regmed.edges
Regularized Mediation model for a specified lambda penalty value.print.regmed regmed.fit summary.regmed
Regularized mediation models over a vector grid of lambda penalty values.print.regmed.grid regmed.grid summary.regmed.grid
Find best fitting regmed model from regmed.grid object.regmed.grid.bestfit
Set up data to input to lavaan semregmed.lavaan.dat
Create a lavaan modelregmed.lavaan.model summary.lavaan
Prefilter to reduce the number of mediators for subsequent analysesregmed.prefilter
Summary of mvregmed objectsummary.mvregmed