Package: pgee.mixed 0.1.0

Ved Deshpande

pgee.mixed: Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes

Perform simultaneous estimation and variable selection for correlated bivariate mixed outcomes (one continuous outcome and one binary outcome per cluster) using penalized generalized estimating equations. In addition, clustered Gaussian and binary outcomes can also be modeled. The SCAD, MCP, and LASSO penalties are supported. Cross-validation can be performed to find the optimal regularization parameter(s).

Authors:Ved Deshpande [aut, cre]

pgee.mixed_0.1.0.tar.gz
pgee.mixed_0.1.0.tar.gz(r-4.5-noble)pgee.mixed_0.1.0.tar.gz(r-4.4-noble)
pgee.mixed_0.1.0.tgz(r-4.4-emscripten)pgee.mixed_0.1.0.tgz(r-4.3-emscripten)
pgee.mixed.pdf |pgee.mixed.html
pgee.mixed/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/kaos42/pgee.mixed/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

1.70 score 3 scripts 121 downloads 3 exports 13 dependencies

Last updated 8 years agofrom:fb77dbdb36. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024

Exports:cv.pgeegen_mixed_datapgee.fit

Dependencies:ADGofTestcolorspacecopulagsllatticeMatrixmvtnormnumDerivpcaPPpsplineRcppRcppArmadillostabledist