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updated 11 hours ago

GPstuff by Aki Vehtari

Gaussian process models for Bayesian analysis (bayesian, gaussian processes, machine learning)

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updated 1 day ago

Leverage & Cook's Distance (Toolbox Free) by Joris Meurs

Function for calculating leverage and Cook's distance without the use of toolboxes (statistics, leverage, cooks distance)

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updated 2 days ago

polyfitn by John D'Errico

John D'Errico (view profile)

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

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updated 2 days ago

Pattern Recognition Toolbox by Peter

Peter (view profile)

Free pattern recognition toolbox for MATLAB (machine learning, pattern recognition, svm)

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updated 3 days ago

YAN-PRTools by Ke Yan

Ke Yan (view profile)

Implementation and wrappers of ~40 common pattern recognition algorithms. (machine learning, pattern recognition, classification)

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updated 4 days ago

Optimization Tips and Tricks by John D'Errico

John D'Errico (view profile)

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (optimization, examples, tutorial)

optimtips

consolidator(x,y,aggregation_mode,tol)

expfitfun3(coef,xdata,ydata)

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updated 7 days ago

Kernel Adaptive Filtering Toolbox by Steven Van Vaerenbergh

A Matlab benchmarking toolbox for kernel adaptive filtering (kernel methods, nonlinear filtering, adaptive filtering)

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updated 11 days ago

rtaormina/ELM_MatlabClass by Riccardo Taormina

A MATLAB Class for Extreme Learning Machines (with examples) (extreme learning mach..., neural networks, classification)

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updated 16 days ago

Gradient Descent Algorithm with Linear Regression on single variable by Sleeba Paul

A useful Machine Learning Algorithm (machine learning, algorithm, gradient)

mesh_grid.m

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updated 17 days ago

Loess filtering - C++ implementation by Bart Vermeulen

Performs a locally weighted robust regression on multidimensional scattered data (regression, multidimensional, multithreaded)

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updated 17 days ago

mReliability by Jeffrey Girard

MATLAB Functions for Computing Inter-Observer Reliability (mathematics, statistics, reliability)

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updated 21 days ago

bartverm/loess-matlab by Bart Vermeulen

Robust locally weighted regression (filtering, regression, multithreaded)

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updated 23 days ago

Regression with neural nework by Guillaume LIGNER

Use regression using a neural network (regression, machine learning, neural networks)

training.m

randInitializeWeights.m

loader.m

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updated 24 days ago

myGPR() by Michael Mathew

Example for Guassian Process Regression of a non-linear function (regression)

myGPR()

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updated 29 days ago

regdata by Arthur Jutan

Arthur Jutan (view profile)

Calculates and plots regression statistics from lsqcurvefit.m (optimization, regression, plot)

regdata(param,yfit,ydata,jac)

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updated 29 days ago

Box-Cox power transformation for Linear Models by Hovav Dror

A utility helping finding lamda to transform y-->y^lamda to best fit multiple linear regression ... (statistics, probability, boxcox)

boxcoxlm(y,X,PlotLogLike,LambdaValues,alpha)

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updated 1 month ago

R2 calculator by Joris Meurs

Function for direct calculation of the coefficient of determination of two vectors (rsquare, regression, statistics)

rsquare(X,Y)

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updated 1 month ago

LOESS regression smoothing by Gabriel Marsh

LOESS performs a locally weighted regression fit to noisy data (fitting, smoothing, loess)

fLOESS(noisy,span)

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updated 2 months ago

PLS-SEM Toolbox by Massimo Aria

Structural Equation Model through Partial Least Squares approach (PLS-SEM) (structural equation m..., partial least squares, path modeling)

Mobile Customer Satisfaction Model

DB_gui(DB,xy)

DBcreator( smlinks,nLVs )

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updated 3 months ago

General Linear Regression Model by Shoaibur Rahman

Generalized form of single and multivariate regression model (linear and non-linear) (regression, general regression, general linear model)

genRegModel(x,y,deg,setb,bvalue)

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updated 3 months ago

Deming regression by Peter Nagy

Deming regression with the intercept constrained to zero (regression, deming regression, intercept)

demingRegression(x,y,constrainTo0,lambda)

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updated 5 months ago

Linear regression using Gradient Descent by Charan Puladas

This a basic implementation of linear regression using gradient descent algorithm. (signal processing, machine learning, regression)

linear2var_reg.m

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updated 5 months ago

okomarov/clusterreg by Oleg Komarov

Oleg Komarov (view profile)

OLS regression with clustered standard errors (regression, statistics, ols)

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updated 5 months ago

FastRidge - fast ridge regression by Statovic

Implementation of fast ridge regression tool that works efficiently for the case that p > n (statistics, regression, machine learning)

displaypath(b, DOF, score)

fastridge(X, y, varargin)

fastridge_example.m

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updated 6 months ago

Multivariate Polynomial Regression by Ahmet Cecen

Performs polynomial regression on multidimensional data. (polynomial regression, statistics, multivariable regress...)

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updated 6 months ago

Outlier-robust extreme learning machine for regression problems by Kai Zhang

An extension of extreme learning machine (ELM). (noise, signal processing, mathematics)

ALM_Solve_ORELM(A, b, C, maxIter)

elm_initialization(nn)

elm_predict(TP,TT,InputWeight, BiasofHiddenNeurons, Outpu...

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updated 7 months ago

Theil-Sen Robust Linear Regression by Zachary Danziger

Quickly perform linear regression that is robust to outliers. (signal processing, regression, outlier)

TheilSen.m

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updated 7 months ago

Reduced Rank Regression by Chris McComb

Multivariate regression via rank reduction. (regression, multivariate, rank reduction)

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updated 8 months ago

Radial Basis Function Neural Networks (with parameter selection using K-means) by Alireza

Alireza (view profile)

RBF Neural Networks (center and distribution of activation functions are selected using K-means) (neural networks, radial basis function, rbfnn)

Pts

RBFKernel(F,MU,SIGMA,N,k)

rbfn_test(F, W, K, MU, SIGMA)

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updated 8 months ago

MATLABによるデータ解析の基礎 (Introduction to Data Analysis) by Eiji Ota

Eiji Ota (view profile)

Demo files and data for a Japanese web seminar "Introduction to Data Analysis" (data analysis, regression, japanese)

createfigure.m

createFit.m

importfile.m

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updated 9 months ago

Bayesian linear regression with the horseshoe hierarchy by Statovic

This file implements Bayesian linear regression with the horseshoe hierarchy. (statistics, regression)

bhs.m

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updated 9 months ago

Full-rank Partial Least squares and Partial Least squares regression by Filippo Amato

Multivariate data analysis - modeling (statistics, modeling, matrix)

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updated 9 months ago

Collinearity diagnostics (variance decomposition proportions, condition index, VIF, tableplot) by Brian Lau

Matlab code for diagnosing collinearity in a regression design matrix (regression, linear)

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updated 9 months ago

BRS_Area_RiseFall_fnc(N,ECG_Removed) by Linford Briant

Calculates BRS for rising and falling DBP (measurement, data exploration, regression)

BRS_Area_RiseFall_fnc(N,ECG_Removed)

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updated 9 months ago

BRS_Area_fnc(N,ECG_Removed) by Linford Briant

Calculating BRS based on mSNA burst area (measurement, regression, data exploration)

BRS_Area_fnc(N,ECG_Removed)

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updated 9 months ago

Generic function and example code for performing LASSO on GLM by Dr. Soumya Banerjee

Generic function and example code for performing LASSO on GLM and using it for prediction (statistics, machine learning, optimization)

call_generic_lasso_glm_predict()

generic_lasso_glm_predict(X,y,str_distribution,str_link_f...

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updated 9 months ago

Generic function and example code for using neural networks by Dr. Soumya Banerjee

Generic function and example code for using neural networks for prediction. (machine learning, classification, statistics)

call_generic_neural_network()

generic_neural_network(X,T,parallel,iNumHidden)

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updated 9 months ago

Generic function for LASSO on logistic regression by Dr. Soumya Banerjee

Generic function and example code for LASSO on logistic regression. (classification, regression, machine learning)

call_generic_lasso_logistic()

generic_lasso_logistic(X,y,str_distribution,num_fold_cros...

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updated 9 months ago

Using Weka in Matlab by Sunghoon Lee

An efficient interface to use Weka in MATLAB (analysis, probability, machine learning)

classifier_example()

clustering_example()

costSensitiveClassifier_example()

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updated 10 months ago

simple forecast with AR model by raffaele

raffaele (view profile)

forecast with iterative or direct methods, a general AR(p) model, choosing the best p with AIC algo (econometrics, statistics, regression)

fcast.m

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updated 11 months ago

Example code and generic function to perform LASSO on GLM by Dr. Soumya Banerjee

Generic function to perform LASSO on generalized linear model (GLM). (mathematics, optimization, regression)

call_custom_lasso_glm()

custom_lasso_glm(X,y,str_distribution,num_fold_cross_vali...

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updated 11 months ago

DOC-Toolbox by Robert Walecki

DOC-Toolbox (classification, regression, crf)

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updated 11 months ago

Gridsearch for LibSVM library by Pavel Paunov

Gridsearch for the LibSVM support vector machine library. (svm, machine learning, gridsearch)

Gridsearch

MatrixToVector

VectorToMatrix

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updated 11 months ago

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate by Mario Santos

Simple linear regression between EUR/USD exchange rate and 10Y USD Treasury Rate (regression)

Regression.m

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updated 1 year ago

Batched partitioned nonlinear least squares by John D'Errico

John D'Errico (view profile)

Speed up when you have a very large number of nonlinear least squares problems, but with one model (optimization, regression, nonlinear)

Demo file for batchpleas.m

batchpleas(Xdata,Ydata,batchindex,funlist,INLPstart,batch...

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updated 1 year ago

quantreg(x,y,tau,order,Nboot) by Aslak Grinsted

Aslak Grinsted (view profile)

Quantile regression with bootstrapping confidence intervals (statistics, quantile, median)

quantreg(x,y,tau,order,Nboot)

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updated 1 year ago

dcorr( X, Y ) by Paolo Inglese

Paolo Inglese (view profile)

Distance correlation (correlation, distance, classification)

dcorr( X, Y )

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updated 1 year ago

allregress(y,X,criteria) by Shen Liu

Shen Liu (view profile)

All possible regressions of y on X, selecting the best model by a means of selection criteria (regression, model selection)

allregress(y,X,criteria)

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updated 1 year ago

Batch Coverage Reporting by Dirk Jungquist

Report top level coverage on mutiple models though a single script. (coverage, batch, regression)

BlockNames()

RunCoverageReport.m

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updated 1 year ago

Function to perform Bayesian LASSO by Dr. Soumya Banerjee

Function to perform Bayesian LASSO (least absolute shrinkage and selection operator) (signal processing, mathematics, statistics)

bayesian_lasso_generic(X,Y)

call_bayesian_lasso()

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