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dominanceanalysis

Dominance Analysis (Azen and Bodescu), for multiple regression models: OLS (univariate, multivariate), beta regression, Dynamic Linear Models, GLM and HLM

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

mice

Multivariate Imputation by Chained Equations

midasr

R package for mixed frequency time series data analysis.

mlr

Machine Learning in R

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

parcor

:exclamation: This is a read-only mirror of the CRAN R package repository. parcor — Regularized estimation of partial correlation matrices

pubs

pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

r-pkgs

Building R packages

robyn

Robyn is a Marketing Mix Modeling (MMM) code. It can be used to build end-to-end time series regression models and as an econometrics code library. Automated, built for very large data sets, and is suitable for digital and complex consumer behaviour

rstanarm

rstanarm R package for Bayesian applied regression modeling

shiny

Easy interactive web applications with R

simmmulator

siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package features a variety of functions to help users build a data set from scratch.