ncvreg fits MCP- or SCAD-penalized linear and logistic regression models
grpreg fits regularization paths for regression models with grouped covariates
visreg provides a convenient interface to visualize the fit of regression models arising from a wide variety of models in R
biglasso fits lasso and elastic net models for large data sets that cannot be loaded into memory; designed to be more memory- and computation-efficient for big data than existing lasso-fitting packages
plmmr fits penalized linear mixed models that correct for unobserved confounding factors such as population stratification and batch effects
If you encounter problems or bugs using any of these packages, please file an issue! Good software depends on getting feedback from users. When doing so, please provide a minimal reproducible example.