generalized-linear-models
There are 141 repositories under generalized-linear-models topic.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
NICTA/revrand
A library of scalable Bayesian generalised linear models with fancy features
yaglm/yaglm
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
merliseclyde/BAS
BAS R package for Bayesian Model Averaging and Variable Selection
helske/walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
NErler/JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
theislab/batchglm
Fit generalized linear models in python.
DoseResponse/drc
Fitting dose-response models in R
tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
aromanro/MachineLearning
From linear regression towards neural networks...
friendly/vcdExtra
Extensions and additions to vcd: Visualizing Categorical Data
andreaskapou/BPRMeth
Modelling DNA methylation profiles
mkearney/tidyreg
🎓 Tidy regression tools for academics
emjun/tisane
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
jolars/SLOPE
Sorted L1 Penalized Estimation
yufongpeng/AnovaBase.jl
A simple framework for ANOVA on various types of Julia statistical models
hturner/gnm
gnm package for generalized nonlinear models in R
Eden-Kramer-Lab/GLM-CFC
A GLM based approach to measure CFC
QCBSRworkshops/workshop06
Workshop 6 - Generalized linear models (GLM)
reese3928/methylGSA
A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing
chrismainey/GAMworkshop
GAM workshop for NHS-R Community Conference 2023
boennecd/parglm
R package that provides a parallel estimation method for generalized linear models
hturner/gnm-day-course
one day introduction to generalized nonlinear models using the gnm and logmult R packages
JacobSeedorff21/BranchGLM
Efficient Variable Selection for GLMs in R
JWellsBio/Chemosensitivity
Predicting chemosensitivity using gene expression
mbojan/lspline
R package: Linear Splines with Convenient Parameterizations
Hua-Zhou/MGLM
MGLM Toolbox for Matlab
loreloc/bayesian-gp-regression
Comparison of Several Bayesian Regression Techniques and Gaussian Processes
paulinamoskwa/GLMs
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
chunlinli/glmtlp
Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.
m-clark/R-III-Modeling
Using models to understand relationships and make predictions.
PayThePizzo/Predictive-Analysis-Notes
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
DataSlingers/ExclusiveLasso
Generalized Linear Models with the Exclusive Lasso Penalty
dirkschumacher/rcppglm
GLM implementation in c++ with rcpp and armadillo
jolars/sgdnet
Fast Sparse Linear Models for Big Data with SAGA
yufongpeng/AnovaGLM.jl
Conduct one-way and multi-way anova in Julia with GLM.jl