geeVerse is an R package to provide computationally efficient implementations of penalized generalized estimating equations for any combination of 1) simultaneous variable selection and estimation for high and even ultra-high dimensional data, 2) conditional quantile or mean regression, and 3) longitudinal or cross-sectional data analysis.
You can install the latest version of geeVerse from GitHub with:
# install.packages("devtools")
devtools::install_github("zzz1990771/geeVerse")After installation, you can load the package as usual:
To get detailed documentation on the qpgee function, use:
This will show you the functionâs usage, arguments, and examples.
Running an Example:
#settings
sim_data <- generateData(nsub = 20, nobs = rep(10, 20), p = 20,
beta0 = c(rep(1,5),rep(0,15)), rho = 0.1, correlation = "AR1",
dis = "normal", ka = 1)
X=sim_data$X
y=sim_data$y
#fit qpgee with auto selected lambda
qpgee.fit = qpgee(X,y,tau=0.5,nobs=rep(10, 20),ncore=1)
qpgee.fit$betaRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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