https://github.com/bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling

Last synced: 13 May 2025

https://github.com/yrosseel/lavaan

an R package for structural equation modeling and more

factor-analysis growth-curve-models latent-variables missing-data multilevel-models multivariate-analysis path-analysis psychometrics statistical-modeling structural-equation-modeling

Last synced: 21 Oct 2025

https://github.com/stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling

Last synced: 04 Apr 2025

https://github.com/mooseburger1/springboard-data-science-immersive

convolutional-neural-networks data-science deep-learning deep-neural-networks eda h5 hadoop nlp opencv pyspark python sql statistical-analysis statistical-inference statistical-modeling tensorboard tensorflow time-series-analysis time-series-prediction web-scraping

Last synced: 10 Apr 2025

https://github.com/mrtkp9993/statistical-modeling-examples

Basic statistical modelling examples.

analysis-of-variance anova matplotlib pandas pystan python python3 r-language r-markdown r-programming regression-analysis regression-models seaborn stan statistical-analysis statistical-inference statistical-modeling

Last synced: 07 May 2025

https://github.com/mrtkp9993/Statistical-Modeling-Examples

Basic statistical modelling examples.

analysis-of-variance anova matplotlib pandas pystan python python3 r-language r-markdown r-programming regression-analysis regression-models seaborn stan statistical-analysis statistical-inference statistical-modeling

Last synced: 13 Jul 2025

https://github.com/brandmaier/semtree

Recursive Partitioning for Structural Equation Models

bigdata cran decision-tree forest multivariate r randomforest recursive-partitioning sem statistical-modeling structural-equation-modeling structural-equation-models

Last synced: 07 Apr 2025

https://github.com/jessecambon/data-science-sandbox

Code and resources to serve as a starting point for data science projects.

data-science data-visualization geospatial-analysis machine-learning nlp python r statistical-modeling statistics

Last synced: 21 Jul 2025

https://github.com/haziqj/inlavaan

An R package for Bayesian structural equation modeling using INLA

bayesian-inference bayesian-statistics factor-analysis growth-curve-models inla laplace-approximation latent-variables path-analysis psychometrics skew-normal statistical-modeling structural-equation-modeling

Last synced: 05 Apr 2026

https://github.com/unixjunkie/orf

OCaml Random Forests

bagging bootstrap-aggregation classification machine-learning ocaml-library out-of-bag random-forests regression statistical-modeling

Last synced: 21 Aug 2025

https://github.com/guyabel/tidycat

Expand broom::tidy() output for categorical parameter estimates

data-visualization data-viz glm model-comparison r regression-analysis regression-models rstats rstats-package statistical-analysis statistical-modeling

Last synced: 27 Oct 2025

https://github.com/danielvartan/r-course

🚀 An Introduction to the R Programming Language

data-engineering data-science data-visualization education open-science open-source presentations quarto r-programming reproducible-research rstats slides statistical-modeling tidyverse

Last synced: 09 Feb 2026

https://github.com/unixjunkie/svmwrap

Wrapper on top of libsvm-tools

classification machine-learning ocaml-program regression statistical-modeling support-vector-machine svm

Last synced: 27 Jun 2025

https://github.com/danielvartan/linear-models

🐧🧊 General Linear Models Using Penguins

data-analysis data-visualization general-linear-models multiple-regression palmer-archipelago penguin-statistics penguins r-programming statistical-modeling

Last synced: 31 Jan 2026

https://github.com/cbg-ethz/covvfit

Fitness estimates of SARS-CoV-2 variants

epidemiology fitness-landscape forecasting-models sars-cov-2 statistical-modeling virology wastewater-based-epidemiology wastewater-surveillance

Last synced: 21 Aug 2025

https://github.com/inphyt/inphyt.github.io

Special repository hosting the InPhyT website.

computational-epidemiology computational-modelling computational-neuroscience computational-social-science computational-socialscience computer-science data-analysis data-mining machine-learning mathematical-modelling mathematics modeling network-analysis physics scientific-computing scientific-machine-learning statistical-modeling statistical-physics

Last synced: 02 Feb 2026

https://github.com/cbhihe/smartcity_high-dim-statistical-learning

Multivariate statistical learning applied to high dimensional data

high-dimensional-data multivariate-analysis mva r smartcity statistical-modeling

Last synced: 23 Jun 2026

https://github.com/tedoaba/change-point-analysis-and-statistical-modeling

Change Point Analysis and Statistical Modelling of Time Series Data - Detecting Changes and Associating causes on Time Series Data

arima change-point-analysis change-point-detection dashboard feature-engineering flask kaim statistical-analysis statistical-modeling time-series-analysis

Last synced: 17 Apr 2026

https://github.com/cyberoctane29/penguins-data-modeling-and-analysis

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

clustering-algorithm clustering-analysis data-analytics eda kmeans-clustering machine-learning mulitple-linear-regression penguins predictive-modeling regression-analysis simple-linear-regression statistical-modeling supervised-learning unsupervised-learning

Last synced: 24 Mar 2025

https://github.com/farukalamai/rainfall-prediction-and-forecasting

rainfall-prediction-and-forecasting

arima-forecasting data-analysis data-visualization deep-learning fb-prophet lstm-neural-network machine-learning rainfall-prediction stationary-data statistical-modeling time-series-analysis time-series-forecasting xgboost

Last synced: 12 Jun 2025

https://github.com/chirindaopensource/non_linear_forecasting_backcasting

Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.

bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models

Last synced: 11 Apr 2026

https://github.com/cyberoctane29/penguins-data-analysis-and-modeling

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

cluster-analysis clustering-algorithm data-analytics eda kmeans-clustering machine-learning multiple-linear-regression penguins predictive-modeling regression-analysis simple-linear-regression statistical-modeling supervised-learning unsupervised-learning

Last synced: 02 Apr 2025

https://github.com/francescopiocirillo/bayesian-map-vs-logistic-regression

Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.

bayesian-classifier binary-classification classification-algorithm data-science gradient-descent jupyter-notebook logistic-regression machine-learning map-estimation monte-carlo-simulation probabilistic-models python statistical-modeling supervised-learning

Last synced: 17 May 2026

https://github.com/luarmen/covid-19-testing-forecast-iceland-2020-2022-

Time series forecasting of daily COVID-19 testing in Iceland using R. Models compared include ETS, SARIMA, and Auto ARIMA with cross-country validation on UAE data.

arima covid-19 data-visualization ets forecasting pandemic-data r sarima statistical-modeling statistical-modeling-techniques time-series

Last synced: 07 Aug 2025

https://github.com/okkymabruri/priorityx

Entity prioritization and escalation detection using GLMM statistical models

data-science escalation-detection glmm prioritization python risk-analysis statistical-modeling

Last synced: 29 Jan 2026

https://github.com/matthewfeickert/pydistcore

The interface library for probabilistic modeling in HEP

high-energy-physics probabilistic-modeling python statistical-modeling statistics

Last synced: 18 Oct 2025

https://github.com/kkholst/gof

Model diagnostics based on cumulative residuals (R package) https://kkholst.github.io/gof/

cumulative-residuals generalized-linear-models model-diagnostics r statistical-modeling statistics

Last synced: 15 May 2026

https://github.com/biometrician/abe-for-sas

Augmented backward elimination for SAS: A Pragmatic and Purposeful Way to Develop Statistical Models

sas-macro statistical-modeling variable-selection

Last synced: 01 Apr 2026

https://github.com/mariarodr1136/numdynamics

NumDynamics is an advanced random number generation system that combines C's performance with Python's analytical power. It generates, analyzes, and visualizes random numbers across various statistical distributions, offering a precise and efficient toolkit for random number analysis. 📊

algorithm-design c-programming data-science data-visualization histograms numerical-computing numerical-simulations probability-distributions python-scripts random-number-generator statistical-modeling statistics

Last synced: 28 Oct 2025

https://github.com/piazzai/piazzai

GitHub profile

aphorisms approximation famous-quotes github-profile github-profile-readme literature markdown model modeling models parsimony profile profile-readme quote quotes regression regression-analysis statistical-modeling statistical-models statistics

Last synced: 05 Jun 2026

https://github.com/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models

End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.

diffusion-index dimension-reduction econometrics factor-models financial-modeling high-dimensional-statistics macroeconomic-forecasting matrix-factorization monte-carlo-simulation numpy principal-component-analysis python quantitative-finance research-replication scientific-computing statistical-computing statistical-modeling supervised-learning time-series-analysis time-series-forecasting

Last synced: 29 Apr 2026

https://github.com/chardyb/prob-and-stats-bmi6106

A repository for Spring 2025 BMI 6106: Statistics and Probability. This repository contains coursework, code examples, and projects exploring statistical methods and probabilistic models in biomedical informatics.

biomedical-informatics data-analysis data-science probability r statistical-modeling

Last synced: 02 Sep 2025