SIMEXBoost
cranv0.2.0Boosting Method for High-Dimensional Error-Prone Data. Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) <doi: 10.1007/s11222-023
License GPL-2strong copyleft0 versions1 maintainers1 deps68 weekly dl
https://CRAN.R-project.org/package=SIMEXBoost33
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curl https://depscope.dev/api/check/cran/SIMEXBoostFirst published · 2023-11-16 16:57:28
Last updated · 2023-11-16T14:44:02+00:00