The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

HDMAADMM

Parameter Estimation of High-dimensional Mediation Models Based on Alternating Direction Method of Multipliers (ADMM)

Installation

You can install:

install.packages("remotes")
remotes::install_github("psyen0824/HDMAADMM")

If you encounter a bug, please file a reproducible example on github.

If you would like to have oneMKL support. Please use below commands to install:

install.packages(
  c("oneMKL", "oneMKL.MatrixCal"), 
  repos=c("https://cloud.r-project.org/", "https://R-OneMKL.github.io/drat"), 
  type = "source"
)
remotes::install_github("psyen0824/HDMAADMM", ref = "oneMKL")

examples

simuData <- modalityMediationDataGen(seed = 20231201)

modelElasticNet <- singleModalityAdmm(
  X = simuData$MediData$X, Y = simuData$MediData$Y, M1 = simuData$MediData$M1,
  rho = 1, lambda1a = 1, lambda1b = 0.1, lambda1g = 2, lambda2a = 1, lambda2b = 1,
  penalty = "ElasticNet"
)

fitted(modelElasticNet)                              # fitted values
predict(modelElasticNet, matrix(c(0, 1), ncol = 1))  # predict values

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.