generalized-linear-models

There are 5 repositories under generalized-linear-models topic.

statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
count-model data-analysis data-science econometrics forecasting generalized-linear-models hypothesis-testing prediction python regression-models robust-estimation statistics timeseries-analysis
Language:Python 11073
NICTA / revrand
A library of scalable Bayesian generalised linear models with fancy features
gaussian-processes bayesian-inference regression generalized-linear-models fourier-features
Language:Python 60
statistical-python / yaglm
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
statistics machine-learning penalized-regression generalized-linear-models lasso-regression optimization-algorithms tuning-algorithm
Language:Python 58
merliseclyde / BAS
BAS R package for Bayesian Model Averaging and Variable Selection
bayesian predictive-modeling model-selection mcmc r-package cran regression variable-selection bayesian-inference generalized-linear-models linear-regression logistic-regression poisson-regression
Language:R 47
helske / walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
r mcmc bayesian generalized-linear-models stan time-series
Language:HTML 45
DoseResponse / drc
Fitting dose-response models in R
dose-response-modeling r nonlinear-regression generalized-linear-models
Language:R 28
NErler / JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
imputation missing-values bayesian linear-mixed-models linear-regression-models mcmc-sample jags survival mcmc-sampling joint-analysis missing-data imputations glm glmm generalized-linear-models rstats
Language:R 28
theislab / batchglm
Fit generalized linear models in python.
generalized-linear-models tensorflow differential-expression
Language:Python 28
aromanro / MachineLearning
From linear regression towards neural networks...
adagrad adam-optimizer backpropagation data-analysis data-science generalized-linear-models gradient-descent linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron-network nadam nesterov-accelerated-sgd nesterov-momentum neural-network rmsprop
Language:C++ 27
tlverse / causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
treatment-effects causal-inference marginal-structural-models nonparametric-statistics semiparametric-estimation targeted-learning relative-risk-regression generalized-linear-models r heterogeneous-treatment-effects causal-learning robust-statistics interpretable-machine-learning high-dimensional-inference machine-learning statistics data-science r-package working-model projection
Language:R 26
friendly / vcdExtra
Extensions and additions to vcd: Visualizing Categorical Data
categorical-data-visualization generalized-linear-models mosaic-plots r-package
Language:HTML 24
andreaskapou / BPRMeth
Modelling DNA methylation profiles
methylation-profiles generalized-linear-models dna-methylation epigenetics clustering
Language:R 23
emjun / tisane
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
statistics statistical-analysis linear-regression linear-models generalized-linear-mixed-models generalized-linear-models domain-specific-language statistical-validity
Language:Python 23
mkearney / tidyreg
🎓 Tidy regression tools for academics
tidyversity statistics regression generalized-linear-models linear-models quantitative-methods
Language:R 23
ottenbreit-data-science / aplr
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
ai artificial-intelligence classification explainability explainable-ai explainable-ml general-additive-model generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning regression scikit-learn transparency piecewise-linear-regression
Language:C++ 21
jolars / SLOPE
Sorted L1 Penalized Estimation
slope sparse-regression r generalized-linear-models
Language:C++ 19
yufongpeng / AnovaBase.jl
A simple framework for ANOVA on various types of Julia statistical models
anova generalized-linear-models linear-models f-test likelihood-ratio-test linear-mixed-effects
Language:Julia 19
hturner / gnm
gnm package for generalized nonlinear models in R
generalized-nonlinear-models generalized-linear-models statistical-models r
Language:R 17
Eden-Kramer-Lab / GLM-CFC
A GLM based approach to measure CFC
cross-frequency-coupling time-series generalized-linear-models neuroscience functional-connectivity frequency-domain
Language:MATLAB 16
QCBSRworkshops / workshop06
Workshop 6 - Generalized linear models (GLM)
generalized-linear-models
Language:R 13
reese3928 / methylGSA
A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing
methylation enrichment ontology logistic-regression generalized-linear-models shiny
Language:R 13
chrismainey / GAMworkshop
GAM workshop for NHS-R Community Conference 2023
gams generalized-additive-models generalized-linear-models mgcv nhs nhs-r nhs-r-community r
Language:HTML 12
boennecd / parglm
R package that provides a parallel estimation method for generalized linear models
generalized-linear-models parallel-computing
Language:C++ 11
hturner / gnm-day-course
one day introduction to generalized nonlinear models using the gnm and logmult R packages
r statistical-models nonlinear-regression generalized-linear-models
Language:HTML 8
Hua-Zhou / MGLM
MGLM Toolbox for Matlab
matlab mglm-toolbox generalized-linear-models sparse-regression
Language:MATLAB 8
JacobSeedorff21 / BranchGLM
Efficient Variable Selection for GLMs in R
generalized-linear-models r-package regression statistics subset-selection variable-selection
Language:R 8
JWellsBio / Chemosensitivity
Predicting chemosensitivity using gene expression
cancer cancer-genomics cancer-research cancer-data cancer-genome-atlas predictive-modeling prediction-model predictive-analytics predictive-analysis generalized-linear-models chemoinformatics chemogenomics
Language:R 8
mbojan / lspline
R package: Linear Splines with Convenient Parameterizations
generalized-linear-models r r-package splines
Language:R 8
loreloc / bayesian-gp-regression
Comparison of Several Bayesian Regression Techniques and Gaussian Processes
bayesian-learning regression generalized-linear-models gaussian-processes
Language:Jupyter Notebook 7
paulinamoskwa / GLMs
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
eda exploratory-data-analysis feature-selection generalized-linear-models glm linear-regression logistic-regression poisson-regression prediction predictive-modeling python regression regression-algorithms regression-models regressions scikit-learn sklearn statsmodels
Language:HTML 7
PayThePizzo / Predictive-Analysis-Notes
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
categorical-data classification collinearity collinearity-diagnostics data-analysis data-visualisation generalized-linear-models glm influence model-selection multiple-linear-regression prediction-model r residuals rstudio simple-linear-regression statistical-analysis statistics transformations variable-selection
Language:HTML 7
chunlinli / glmtlp
Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.
gaussian-graphical-model generalized-linear-models high-dimensional-regression lasso constrained-likelihood truncated-lasso big-data summary-statistics
Language:R 6
m-clark / R-III-Modeling
Using models to understand relationships and make predictions.
r workshop models linear-models generalized-linear-models visualization model-checking model-comparison loss-functions machine-learning-basics
6
pippipalma / MAMBA
MAMBA – Multi-pAradigM voxel-Based Analysis: a computational cookbot
image-analysis neuroimaging radiotherapy vba vbm voxel-based voxel-based-analysis voxel-based-morphometry cox-regression generalized-linear-models glm matlab
Language:MATLAB 6
dirkschumacher / rcppglm
GLM implementation in c++ with rcpp and armadillo
generalized-linear-models armadillo-library r machine-learning-algorithms
Language:C++ 5
yufongpeng / AnovaGLM.jl
Conduct one-way and multi-way anova in Julia with GLM.jl
anova f-test likelihood-ratio-test generalized-linear-models linear-models
Language:Julia 5