Package: pgee.mixed 0.1.0.9002

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]

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NEWS

# Install 'pgee.mixed' in R:
install.packages('pgee.mixed', repos = c('https://kaos42.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

On CRAN:

2.70 score 3 scripts 107 downloads 3 exports 13 dependencies

Last updated 8 years agofrom:6617fe1b04. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-win-x86_64OKOct 09 2024
R-4.5-linux-x86_64OKOct 09 2024
R-4.4-win-x86_64OKOct 09 2024
R-4.4-mac-x86_64OKOct 09 2024
R-4.4-mac-aarch64OKOct 09 2024
R-4.3-win-x86_64OKOct 09 2024
R-4.3-mac-x86_64OKOct 09 2024
R-4.3-mac-aarch64OKOct 09 2024

Exports:cv.pgeegen_mixed_datapgee.fit

Dependencies:ADGofTestcolorspacecopulagsllatticeMatrixmvtnormnumDerivpcaPPpsplineRcppRcppArmadillostabledist