Awesome Open Source

Programming Languages

Search results for r lasso

53 search results found

H2o4gpu ⭐ 421

H2Oai GPU Edition

Python Glmnet ⭐ 178

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Biglasso ⭐ 107

biglasso: Extending Lasso Model Fitting to Big Data in R

Best Subset ⭐ 75

Comparisons between best subset selection and other popular sparse regression estimators

Glmnetutils ⭐ 62

Utilities for glmnet

Simulator ⭐ 51

An Engine for Running Simulations

🤠 📿 The Highly Adaptive Lasso

Featureselection ⭐ 47

Feature Selection in R using glmnet-lasso, xgboost and ranger

Regularization paths for regression models with grouped covariates

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

snpnet: Fast and scalable lasso/elastic-net solver for large SNP data

Double Machine Learning for Multiple Treatments

Weeklyforecasting ⭐ 21

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.

Models By Example ⭐ 19

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

R Package: Regularized Principal Component Analysis for Spatial Data

Lassovar ⭐ 16

Estimation and forecasting of VAR model with the Lasso

FAST Change Point Detection in R

Datascientistr ⭐ 13

Companion data sets and code for Chinese book

Integrating LASSO and bootstrapping algorithm to find best prognostic or predictive biomarkers

Grpregoverlap ⭐ 12

Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates

R interface for OSQP

Haldensify ⭐ 11

📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

R Package for Hierarchical Regularized Regression to Incorporate External Data

An R 📦 for Lasso and Ridge Regression with differential penalization based on prior knowledge ✌️

Textforecast ⭐ 10

Forecasting and Regression Analysis using textual data.

Sparsesignatures ⭐ 10

Extracting mutational signatures via LASSO. The manuscript of the method is published on PLOS Computational Biology and available at: https://journals.plos.org/ploscompbiol/article?id=

multiple-instance logistic regression with lasso penalty.

Brexit Analysis ⭐ 9

Data analysis exploring spatially varying explanations behind the UK's vote to leave the EU.

Sparse Canonical Correlation Analysis (sCCA)

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

Linear Model with Tree-Based Lasso Regularization for Rare Feature Selection

Code for comparing the top 10 predictors to the lasso/debiased lasso

Bayesian Logistic Regression with Hyper-LASSO priors

Sparsevar ⭐ 8

R package for sparse VAR estimation

MoMA: Modern Multivariate Analysis in R

Bayesrecipe ⭐ 7

Bayesian Reciprocal Regularization

Fused lasso for high-dimensional regression over groups

Lzerospikeinference ⭐ 7

Exact Spike Inference Via L0 Optimization

R-package containing penalized regression methods for High-Dimensional Measurement Error problems (errors-in-variables)

Lasforecast ⭐ 7

Time series forecasting with Lasso-type shrinkage methods

A R implementation of Lasso regression

Inference Of Grn Using Fused Lasso ⭐ 6

Gene regulatory network inference using fused LASSO on multiple data sets: application to Escherichia coli

Selectboost ⭐ 6

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

lessSEM estimates sparse structural equation models.

Nonparametric regression and prediction using the highly adaptive lasso algorithm

Causal Discovery with Equal Variance Assumption

Collaborative Targeted Maximum Likelihood Estimation

Fusedlasso ⭐ 5

Efficient Fused Lasso Algorithm

Codes for the ICML 2019 paper "Bayesian Joint Spike-and-Slab Graphical Lasso"

Path2msurv ⭐ 5

A Multitask Multiple Kernel Learning Algorithm for Survival Analysis

R package for Bayesian covariance lasso prior confirmatory factor analysis

Selection Operator for JOintly analyzing multiple variants (SOJO)

Ordered Homogeneity Pursuit Lasso for Group Variable Selection

Related Searches

R Rstats (2,342)

R Rstudio (1,746)

R Dataset (1,493)

Python R (1,244)

R Machine Learning (1,113)

R Visualization (979)

R Statistics (971)

1-53 of 53 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.