mpath: Regularized Linear Models. Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Banerjee, Prithish; Garai, Broti; Mallick, Himel; Chowdhury, Shrabanti; Chatterjee, Saptarshi: A note on the adaptive Lasso for zero-inflated Poisson regression (2018)
- Wang, Zhu; Ma, Shuangge; Wang, Ching-Yun: Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany (2015)