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Topic: "penalized-regression"

m-clark/models-by-example

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

Language: R - Size: 26.2 MB - Last synced at: about 1 hour ago - Pushed at: over 4 years ago - Stars: 69 - Forks: 19

yaglm/yaglm

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

Language: Python - Size: 1.73 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 12

m-clark/generalized-additive-models-workshop-2019

A workshop on using generalized additive models and the mgcv package.

Language: R - Size: 15.2 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 27 - Forks: 16

jaredhuling/oem

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

Language: C++ - Size: 8.46 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 6

doccstat/fastcpd

Fast Change Point Detection in R

Language: C++ - Size: 95.7 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 22 - Forks: 2

klkeys/IHT.jl 📦

A Julia module that implements the (normalized) iterative hard thresholding algorithm(IHT) of Blumensath and Davies. IHT performs feature selection akin to LASSO- or MCP-penalized regression using a greedy selection approach.

Language: Julia - Size: 4.64 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 8 - Forks: 1

benkeser/halplus

Nonparametric regression and prediction using the highly adaptive lasso algorithm

Language: R - Size: 103 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 7

statalasso/lassopack

LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation

Language: Stata - Size: 2.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 3

jaredhuling/vennLasso

Variable selection for heterogeneous populations using the vennLasso penalty

Language: C++ - Size: 4.45 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

zuoyi93/ProSGPV

Penalized Regression with Second-Generation P-Values

Language: R - Size: 7.07 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2

jrenstat/regnet

Network-Based Regularization for Generalized Linear Models

Language: R - Size: 5.9 MB - Last synced at: 30 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 4

terrytianyuzhang/Sieve

Source files for R package Sieve

Language: R - Size: 3.35 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

Badr-MOUFAD/beyond-OLS-med-supp-material

Supplementary material for the medium article Beyond linear regression: Leveraging linear regression for feature selection of continuous/categorical variables.

Language: Jupyter Notebook - Size: 40 KB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Oncostat/biospear

Biomarker selection in penalized regression models

Language: R - Size: 2.18 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

Syksy/oscar

CRAN R package - oscar: Optimal Subset CArdinality Regression models

Language: Fortran - Size: 132 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ejikeugba/serp

Smooth Effects on Response Penalty for CLM

Language: R - Size: 1.01 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

jpfitzinger/hfr

An R package that implements the Hierarchical Feature Regression: a regularized group-shrinkage regression estimator based on supervised hierarchical graphs

Language: R - Size: 197 KB - Last synced at: 24 minutes ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

SimonBussy/binarsity

Experiments for Binarsity: a penalization for one-hot encoded features

Language: Jupyter Notebook - Size: 255 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

m-clark/mixed-models-overview

Raw files for a document providing an overview of mixed models from varying perspectives.

Language: R - Size: 2.28 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

jordandeklerk/sieve

Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation

Language: Python - Size: 157 KB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ehm-lab/2017_gasparrini_Biomet_Rcodedata Fork of gasparrini/2017_gasparrini_Biomet_Rcodedata

A penalized version of distributed lag linear and non-linear models

Language: R - Size: 838 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

quansun98/GAUDI

GAUDI: a penalized regression based PRS method designed specifically for admixed individuals

Language: R - Size: 215 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Muddaj/Logistic-Regression

A repository for a showcase project. I analyze juice consumer data, using logistic regression and logistic lasso penalized regression in R to predict what juice brand a customer purchases based on characteristics of the situation.

Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alexwky/missLASSO

Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.

Size: 5.96 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AdamIH1/Diamond_Data_Analysis

Analysis of a Diamond dataset

Size: 3.76 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AliValiyev/CEIT418-Data-Science

These are my solutions for the labs and assignments for Data Science course.

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

GlenMartin31/Penalised-CPMs-In-Minimum-Sample-Sizes

Repo for the paper entitled "Developing Risk Prediction Models using Penalisation within Data that Adheres to Minimum Sample Size Criteria"

Language: R - Size: 9.49 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

enweg/SnT_BigTime

Interactive Notebook demonstrating the R-library bigtime

Language: CSS - Size: 24.7 MB - Last synced at: 25 days ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

himeag/Business-Algorithms

University of Utah—MKTG 6600: Business Algorithms | Taken: Fall 2020

Language: HTML - Size: 3.93 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

fontaine618/MSTweedie

Multi-source sparse Tweedie modelling

Language: R - Size: 752 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 2

jaredhuling/OrthogEM.jl

an extremely basic Julia implementation of the Orthogonalizing EM (OEM) algorithm for penalized regression

Language: Julia - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

dfleis/hierbasis2

Rebuilding & adding some functionality to Haris et al.'s (2016) HierBasis library.

Language: R - Size: 136 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

mmarouen/SVM_Framework_py

Flexible SVM framework implementation

Language: Python - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

kevinVervier/orthopen

Learning tasks with orthogonal/disjoint supports

Language: R - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 8 lasso 8 r-package 6 logistic-regression 5 r 4 nonparametric-regression 4 mixed-models 3 regression 3 lasso-regression 3 linear-regression 3 data-visualization 2 statistics 2 gradient-descent 2 variable-selection 2 python 2 splines 2 cross-validation 2 regularization 2 mcp 1 group-lasso 1 cran 1 warm-start 1 oem 1 oem-algorithm 1 scad 1 elastic-net 1 ridge 1 stata 1 fortran 1 celer 1 datascience 1 time-series 1 quasi-newton 1 python3 1 pypi-package 1 poisson-regression 1 pelt 1 offline 1 custom-function 1 cpp 1 change-point-detection 1 penalized-spline 1 nonlinear 1 mgcv 1 generalized-additive-models 1 additive-models 1 ordinal-regression 1 proportional-odds-regression 1 regularization-techniques 1 analysis 1 distributed-lag-models 1 simulation 1 tutorial 1 classification-models 1 high-dimensional-statistics 1 multivariate-regression 1 nonparametric-statistics 1 sieve 1 tensor-product 1 cancer-prognosis 1 network 1 survival 1 feature-selection 1 multilevel-models 1 random-effects 1 algorithms 1 bayesian 1 cox-model 1 expectation-maximization 1 gaussian-processes 1 hamiltonian-monte-carlo 1 maximum-likelihood-estimation 1 neural-network 1 pca 1 ridge-regression 1 rkhs 1 zero-inflated 1 categorical-data 1 gpu 1 multitask 1 tweedie 1 regression-models 1 heterogeneity 1 r-stats 1 risk-modelling 1 aggregation 1 data-science 1 dataanalysis 1 datacleaning 1 dataloading 1 datawrangling 1 knn-classification 1 matlplotlib 1 numpy 1 pandas 1 iht 1 julia 1 hierarchical-regression 1 regularized-linear-regression 1 clinical-prediction-models 1