Reverse Dependencies of formulaic

The following projects have a declared dependency on formulaic:

• bofire — no summary
• cvrmap — CVRmap is an opensource software to compute maps of Cerebro-Vascular Reactivity
• differences — difference-in-differences estimation and inference in Python
• formulaic-contrasts — Build contrasts for models defined with formulaic
• glum — High performance Python GLMs with all the features!
• lifelines — Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
• linearmodels — Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• ou-tm351-py — Python package installation for OU module TM351
• pertpy — Perturbation Analysis in the scverse ecosystem.
• petprep-extract-tacs — PETPrep Extract Time Activity Curves Workflow
• petprep-hmc — PETPrep Head Motion Correction Workflow
• pybids — bids: interface with datasets conforming to BIDS
• pyBKTR — Python implementation of the Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
• pycircstat2 — Circular statistcs with Python.
• pyfixest — Fast high dimensional fixed effect estimation following syntax of the fixest R package.
• pyLemur — A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
• scikit-lego — A collection of lego bricks for scikit-learn pipelines
• scilpy — Scilpy: diffusion MRI tools and utilities
• scmorph — Single-cell morphological analysis
• slimp — Linear models with Stan and Pandas
• statjax — Data science tools built with a Jax backend.
• SurPyval — A python package for survival analysis
• survival-analysis — Survival Analysis: Customer Churn and CLV Prediction
• tabmat — Efficient matrix representations for working with tabular data.