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ridge

Here are 17 public repositories matching this topic...

mmarouen / linear-Models-Regression

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

machine-learning linear-regression lasso ols pls ridge lars principal-components-regression

Updated Aug 28, 2017
R

archowdhury / Comparing-the-different-types-of-Regression

Comparing the different types of Regression

regression lasso ols ridge-regression regression-models elastic-net lasso-regression regression-algorithms ridge

Updated Aug 31, 2017
R

guhjy / genridge

Generalized Ridge Trace Plots for Ridge Regression

Updated Oct 9, 2017
R

MGallow / Omega

Penalized precision matrix estimation

lasso covariance-matrix ridge precision-matrix glasso

Updated Jun 19, 2018
R

ToshihiroIguchi / elasticnet

Elastic Net, Lasso and Ridge models can be analyzed by the formula format.

r lasso glmnet elastic-net ridge

Updated Jul 16, 2018
R

MGallow / statr

Personal R Package

linear-regression logistic-regression coefficient-estimates ridge statr loss-metric generates-predictions

Updated Jul 26, 2018
R

MGallow / ADMMsigma

Penalized precision matrix estimation via ADMM

lasso admm covariance-matrix ridge precision-matrix glasso

Updated Aug 2, 2018
R

atsukoba / NPB-baseball-stats-R

Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.

r svm mse lasso aic ridge

Updated Oct 29, 2018
R

ghurault / regularisation

Case study on regularisation methods for statistics and machine learning

lasso statistical-models ridge regularisation-methods horseshoe

Updated Jun 3, 2019
R

paulinealvarado / stanford-stat-learning

Supervised learning and unsupervised in R, with a focus on regression and classification methods.

bootstrap clustering cross-validation lasso model-selection splines logistic-regression knn principal-components quadratic-discriminant-analysis linear-discriminant-analysis boosting generalized-additive-models random-forests ridge regularization-methods tree-based-methods support-vector-machnes

Updated Oct 16, 2020
R

Stats

cordero-c-perez / Stats

A repository created to explore and understand Statistics through coding.

bootstrap regression lasso citibike ols assumptions anova online-learning levene-test error-bars ridge regression-analysis shapiro-wilk tukey-hsd analysis-of-variance anova-test assumption-check

Updated Feb 21, 2021
R

davidmpinho / volatility-models-comparison-thesis

Repository for my Master's thesis comparing volatility models.

finance r thesis lasso regularization elastic-net model-comparison ridge model-combination volatility-models

Updated Feb 24, 2021
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AnFrBo / suicidal_actions

Analysis of Influencing Factors Leading to Suicidal Actions via Linear Regression and Regularization Methods

lasso multicollinearity ridge

Updated Mar 27, 2021
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sreyadhar / Supervised-Machine-Learning-R

machine-learning r rstudio svm regression lasso logistic-regression cart ann linear-regression-models ridge subset-selection lda-qda

Updated May 6, 2021
R

JVF368 / wooldridge-econometria

Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)

r lasso ridge-regression elastic-net partial-least-squares-regression lasso-regression least-square-regression ridge principal-components-regression forward-selection ordinary-least-squares best-subsets lasso-regression-model

Updated Jul 5, 2021
R

mlesnoff / rnirs

Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo

Updated Apr 7, 2023
R

EdwinKipruto / shrinkage

Post-estimation Shrinkage in Full and Selected Linear Regression Models in Low-Dimensional Data Revisited

lasso global ridge parameterwise best-subset nonnegative-parameterwise

Updated Aug 23, 2024
R

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