Statsmodels: statistical modeling and econometrics in Python
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Updated
Jul 16, 2024 - Python
Statsmodels: statistical modeling and econometrics in Python
Fitting dose-response models in R
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
A library of scalable Bayesian generalised linear models with fancy features
Bayesian Generalized Linear Models with Time-Varying Coefficients
Sorted L1 Penalized Estimation
Fit generalized linear models in python.
A GLM based approach to measure CFC
Extensions and additions to vcd: Visualizing Categorical Data
gnm package for generalized nonlinear models in R
one day introduction to generalized nonlinear models using the gnm and logmult R packages
A Collection of Utilities for Modeling Conditional Data Using Generalized Linear Models
MGLM Toolbox for Matlab
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Code and tutorials for fitting generalized linear models (GLM) in Tensorflow 2
Build and Tune Several Models
Website for Biostat 200C (Methods in Biostatistics C)
Ribo-DT is a snakemake pipeline to infer single-codon and codon-pair dwell times as well as gene flux from ribosome profiling data using generalized linear model (GLM) with negative binomial noise model (Gobet et al., PNAS, 2020).
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