pgee.mixed: pgee.mixed: Penalized Generalized Estimating Equations for...
In kaos42/pgee.mixed: Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes
Description
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).
References
Deshpande, V., Dey, D. K., and Schifano, E. D. (2016). Variable
selection for correlated bivariate mixed outcomes using penalized generalized
estimating equations. Technical Report 16-23, Department of Statistics,
University of Connecticut, Storrs, CT.
Wang, L., Zhou, J., and Qu, A. (2012). Penalized generalized
estimating equations for high-dimensional longitudinal data analysis.
Biometrics, 68, 353<e2><80><93>360.
kaos42/pgee.mixed documentation built on May 20, 2019, 7:20 a.m.
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Description
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).
References
Deshpande, V., Dey, D. K., and Schifano, E. D. (2016). Variable selection for correlated bivariate mixed outcomes using penalized generalized estimating equations. Technical Report 16-23, Department of Statistics, University of Connecticut, Storrs, CT.
Wang, L., Zhou, J., and Qu, A. (2012). Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics, 68, 353<e2><80><93>360.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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