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The Wayback Machine - https://web.archive.org/web/20200813025204/https://github.com/topics/generalized-linear-models
#
generalized-linear-models
Here are
58 public repositories
matching this topic...
Statsmodels: statistical modeling and econometrics in Python
Updated
Aug 11, 2020
Python
A library of scalable Bayesian generalised linear models with fancy features
Updated
Sep 7, 2017
Python
Bayesian Generalized Linear Models with Time-Varying Coefficients
Updated
Aug 11, 2020
HTML
🎓 Tidy regression tools for academics
Modelling DNA methylation profiles
Fit generalized linear models in python.
Updated
Jul 30, 2020
Python
Extensions and additions to vcd: Visualizing Categorical Data
A GLM based approach to measure CFC
Updated
Oct 4, 2019
MATLAB
one day introduction to generalized nonlinear models using the gnm and logmult R packages
Updated
Jun 20, 2018
HTML
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
An R package that provides a parallel estimation method for generalized linear models
Updated
Mar 23, 2017
MATLAB
Sorted L1 Penalized Estimation
Fitting dose-response models in R
Generalized linear models for regression and classification problems
Updated
May 24, 2017
Java
estimating short-term synaptic plasticity using spikes
Updated
Sep 19, 2017
MATLAB
Using models to understand relationships and make predictions.
Fast Sparse Linear Models for Big Data with SAGA
GLM implementation in c++ with rcpp and armadillo
Generalized Linear Models with the Exclusive Lasso Penalty
Implementations of statistical models in python with an emphasis on multivariate models.
Updated
May 10, 2020
Python
gnm package for generalized nonlinear models in R
A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models
A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing
Predicting chemosensitivity using gene expression
Lightweight Python library for GLM regression.
Updated
Jan 8, 2020
Python
Build and Tune Several Models
Negative Binomial Additive Model for RNASeq Data
Various techniques applied for the prediction of median home value were- Generalized Linear Regression, Regression Tree, Generalized Additive Model and Neural Networks.
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