MGLM Toolbox for Matlab

Generalized linear models for regression and classification problems

A library of scalable Bayesian generalised linear models with fancy features

Generalized linear models 1 coursework

Bayesian multilevel modeling of real estate sales in NYC

Various techniques applied for the prediction of median home value were- Generalized Linear Regression, Regression Tree, Generalized Additive Model and Neural Networks.

Making use of R programming, the analysis is focussed on the problem which insurance providers are facing today to define their target market and plan their sale strategies which helps them increase their market share and thereby, maximize their profitability. The analysis techniques used in the project are learnt through Data Analysis and Decis…

💬 Talk comparing two recent methods for differential expression analysis with single-cell RNA-seq data

Various techniques applied for the prediction of bankruptcy- Generalized Linear Regression- Logistic, Classification Tree, Generalized Additive Model, Linear Discriminant Analysis and Neural Networks. Evaluation criteria used was misclassifcation errors.

🎓 Tidy regression tools for academics

Modeling Mortgage Customer Retention with Binary Logistic Regression

A data-only R package of datasets for the examples from Dobson and Barnett "An Introduction to Generalized Linear Models" (4th ed)

Course of Generalized Linear Models at UEM in 2017

Anova main effect model for BirthWeight dataset

A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models

Study on community compensatory trend, as well as positive and negative density dependence enacting on seedling recruitment in the Dipterocarpaceae