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ABAman Beherabeingamanforever.hashnode.devAug 6 · 2 min read

GSOC week 10: MATLAB alignment

The changes focus on three areas that previously forced users to rewrite code when moving between MATLAB and Octave: model specification, random-effects inference, and the public object interface. Mod

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ABAman Beherabeingamanforever.hashnode.devJul 30 · 1 min read

GSoC 2026 Week 9: ANOVA Edge Cases and Review

This week focused on strengthening ANOVA behaviour for degenerate, categorical, and high-cardinality designs. I updated anova1 so designs without sufficient degrees of freedom, such as a single group

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ABAman Beherabeingamanforever.hashnode.devJul 18 · 2 min read

GSoC 2026 / Week 7: First ANOVA Performance Pass

This week I worked on the first performance pass for the ANOVA routines in the statistics package. The focus was deliberately narrow: improve two hot paths without changing the public interface or num

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ABAman Beherabeingamanforever.hashnode.devJul 8 · 5 min read

GSoC 2026 / Week 6: predict(), effect sizes, and the LinearModel bridge

Week 6 is midterm week, so the goal was simple: finish the planned public API surface and make sure the ANOVA project is synced with Avanish's LinearModel project. Before writing this week's code, I r

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ABAman Beherabeingamanforever.hashnode.devJul 8 · 4 min read

GSoC 2026 / Week 5: Diagnostic plots for the anova object

Hi again guys!!! Week 5 is the week where the plotting helper I added earlier stops being a placeholder and becomes a real public surface on the anova class. The short version: plotDiagnostics() now w

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ABAman Beherabeingamanforever.hashnode.devJul 8 · 5 min read

GSoC 2026 / Week 4: multcompare() as one-line delegation

Hi again!! Week 4 of my GSoC, posted back to back with Week 3 because I am catching up after some unplanned downtime. This one is shorter than the others because the work turned out to be smaller than

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ABAman Beherabeingamanforever.hashnode.devJul 8 · 6 min read

GSoC 2026 / Week 3: summary(), disp(), and the plot

Hi again !! Two-week silence on my end. I was on bed rest after a medical procedure and away from the keyboard for a while, so I am catching up now with Week 3 and Week 4 landing back to back ahead of

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AKAzmat Khanazm999.hashnode.devAug 27, 2023 · 4 min read

GSOC'23: Final Report

Project Details Title: Addition of regression GAM and kNN classification functionality in statistics package Organization(s): GNU Octave, Google Summer of Code Mentors: Andreas Bertsatos and Nick Jankowski Community Discussion thread : [ Discourse Th...

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AKAzmat Khanazm999.hashnode.devAug 26, 2023 · 5 min read

GSOC'23 Week 9 & 10: Implementing Classdef for GAM and comparision with other softwares

Classdef in Octave For Matlab compatibility and better representation of GAM model we will need a classdef RegressionGAM for storing the training data and other model parameters. The classdef here would serve as a Representation of the Training data,...

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AKAzmat Khanazm999.hashnode.devJul 24, 2023 · 4 min read

GSOC'23 Week 6&7: GAM Regression Part 1

why GAMs ? A Linear Model is Represented as : $$Y=Xβ+ε$$where Y is the Response Variable, X is the predictor data, Beta is the regression Coefficient, and epsilon is the error term. Linear models are known to be all-in-one models when it comes to dat...

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Trending tags this week

GSOC week 10: MATLAB alignment

GSoC 2026 Week 9: ANOVA Edge Cases and Review

GSoC 2026 / Week 7: First ANOVA Performance Pass

GSoC 2026 / Week 6: predict(), effect sizes, and the LinearModel bridge

GSoC 2026 / Week 5: Diagnostic plots for the anova object

GSoC 2026 / Week 4: multcompare() as one-line delegation

GSoC 2026 / Week 3: summary(), disp(), and the plot

GSOC'23: Final Report

GSOC'23 Week 9 & 10: Implementing Classdef for GAM and comparision with other softwares

GSOC'23 Week 6&7: GAM Regression Part 1