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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")
::install_github("zzz1990771/geeVerse") devtools
After installation, you can load the package as usual:
library(geeVerse)
To get detailed documentation on the qpgee
function,
use:
?qpgee
This will show you the function’s usage, arguments, and examples.
Running an Example:
#settings
<- generate_data(
sim_data nsub = 50, nobs = rep(5, 50), p = 10,
beta0 = c(rep(1, 5), rep(0, 5)), rho = 0.3
)
# 2. Fit the model using the formula interface
<- qpgee(
fit ~ . - id,
y data = sim_data,
id = sim_data$id,
tau = 0.5,
method = "HBIC"
)
# 3. View the summary of the results
summary(fit)
This package was re-factored with major functions to make it more consistent with other R packages.
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.