penalization

MM algorithm for selecting variance components via penalization

Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.

R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection

❗ This is a read-only mirror of the CRAN R package repository.

R package for variable selection via fused sparse-group lasso (FSGL) penalized multi-state models incorporating molecular data (Miah et al., 2025).

Throw rotten eggs and tomatoes at these \0/

This repository contains the code for the blog post on Understanding L1 and L2 regularization in machine learning. For further details, please refer to this post.

Diplomski rad: Numerička metoda za problem elastičnog štapa uz prepreku.

Regularized Structural Equation Modeling

Stata command for penalized logistic regression

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...