Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• blportopt — A bayesian approach to portfolio optimization
• BlueWhale3-Timeseries — 用于探索时间序列和顺序数据的蓝鲸插件。
• bmi3d — electrophysiology experimental rig library
• bmiselect — Bayesian MI-LASSO for variable selection on multiply-imputed data.
• bmxp — LCMS Processing tools used by the Metabolomics Platform at the Broad Institute.
• bnlearn — Python package for Causal Discovery by learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
• BoBaFor — A machine learning approach for conducting genome wide association studies (GWAS) on bacteria
• booleabayes — A suite for network inference from transcriptomics data
• boruta-shap-min — no summary
• BorutaShap — A feature selection algorithm.
• BorutaShapPlus — An updated version of the SHAP-based Boruta feature selection algorithm with some new features.
• boxanova — no summary
• bp-neurotools — General helper functions for working with neuroimaging data.
• bpnet — BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
• brainiak — Brain Imaging Analysis Kit
• braintracer — A complete processing pipeline for anatomical neuronal tracing.
• brainways — Brainways
• breseq-ext-cnv — An extension of breseq to determine copy number variations from coverage data
• brighteyes-ism — A toolbox for analysing and simulating ISM images
• brioche-enrichment — Bayesian tests for set enrichment.
• Broad-GenePy — A useful module for any CompBio
• brutifus — Python module to process IFU datacubes.
• bs-python-utils — my Python utilities
• bss — BrainSuite statistics toolbox
• building-controller-forecast — Building controller forecasting lib
• bumbleview — Convert physical spectra to excitation potential in insect eyes
• buy-and-hold-vs-arima — buy and hold vs arima strategy
• c2xg — Construction Grammars for Natural Language Processing and Computational Linguistics
• caketool — Common tools for MLOps
• calculate-vif-rsquare — This function will use to calculate VIF and adjusted rsquare within featue columns or indipendent variables.
• calibration-belt — Assessment of calibration in binomial prediction models.
• CalibrationCurve — A collection of functions that streamline the process of creating calibration curves using Python.
• CallFlow — no summary
• calour — CALOUR: exploratory and interactive microbiome analyses based on heatmap
• calzone-tool — A package for calibration measurement and analysis
• camcops-server — CamCOPS server
• CaMo — CaMo: A Causal Model Library
• canalyst-candas — The official Canalyst Software Development Kit (SDK) for our public API
• cannlytics — 🔥 Cannlytics is a suite of tools that you can use to wrangle, standardize, and analyze cannabis data
• cansig — Discovering de novo shared transcriptional programs in single cancer cells
• capblood-seq — no summary
• capcalc — Tools for performing coactivation pattern analysis on fMRI data.
• capexplain — Cape - a system for explaining outliers in aggregation results through counterbalancing.
• captest — Framework and methods to facilitate photovoltaic facility capacity testing following ASTM E2848.
• carbonplan-forest-offsets — retrospective analysis of complience IFM projects
• CardioWave — A tool to derive parameters from waveform data for cardiotoxicity research
• CASCADe-spectroscopy — CASCADe : Calibration of trAnsit Spectroscopy using CAusal Data
• casedi — Cancer ASE driver identification (CASEDI)
• casual-inference — Do causal inference more casually
• category-encoders — A collection of sklearn transformers to encode categorical variables as numeric
• category-encoders-dev — A collection sklearn transformers to encode categorical variables as numeric
• causal-curve — A python library with tools to perform causal inference using observational data when the treatment of interest is continuous.
• causal-learn — causal-learn Python Package
• causal-test-again — A Scalable Causal Inference Library
• causal-testing-framework — A framework for causal testing using causal directed acyclic graphs.
• causaldata — Example Data Sets for Causal Inference
• CausalEstimate — A library for estimates of causal effects.
• causalforge — Python Package for Causal Inference
• causalimpact — Python Package for causal inference using Bayesian structural time-series models
• causalimpactx — A clone of R version CausalImpact developed by Google
• causality — Tools for causal inference
• causallib — A Python package for flexible and modular causal inference modeling
• causalml — Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms
• CausalPy — Causal inference for quasi-experiments in Python
• cbicqc — MRI phantom quality control tool
• cbssa — Columbia Business School Sports Analytics
• cde — Framework for conditional density estimation
• cdt — A Toolbox for causal graph inference
• cedarverse-bda — Interactive dashboard tool for analyzing differences between Aider benchmark runs
• cefeste — Feature Selection and Elimination
• celescope — Single Cell Analysis Pipelines
• Cell-BLAST — Single-cell transcriptome querying tool
• cell2cell — TBD
• cellanova — Cell state space analysis of variance for signal recovery with batch correction
• CellClear — Estimating and removing ambient expression in scRNA-seq data
• celldancer — Study RNA velocity through neural network.
• CellDrift — CellDrift: A Python Package to Infer Temporal Patterns of Peturbation Effects in Single Cell Data
• cellfinder-analyst — Group level analysis of cellfinder results.
• cellmaps-hierarchyeval — A tool to evaluate hierarchies with known resources
• cellpath — CellPath, multiple trajectories inference in single cell RNA-Seq data from RNA velocity
• CellTypeGenomics — Package for cell type genomics
• CEM-LinearInf — CEM-LinearInf is a Python package for linear causal inference, which can help you implement the whole process of causal inference easily.
• cenroc — Calculation of censored ROC curve
• cenROCTest — Calculation of censored ROC curve
• cetpy — Congruent Engineering Toolbox
• cfdna — Python package for fragment manipulation for cfDNA
• CFEDemands — Tools for estimating and computing Constant Frisch Elasticity (CFE) demands.
• cgem — CGEM: Collaborative Generalized Effects Modeling
• cgmquantify-updated — Quantifying glucose and glucose variability from CGM devices
• chady — A package for ML libraries
• ChainConsumer — ChainConsumer: Consumer your MCMC chains
• chainopy — A Python Library for Markov Chain based Stochastic Analysis!
• checkrs — Tools for simulation-based model checking and diagnostics.
• ChemCal — A collection of functions that simplify the process of creating calibration curves.
• cheope — CHEOPE: studying transiting exoplanets
• china — description
• choicemodels — Tools for discrete choice estimation
• ChromoPhyloGen — A package for inferring CNA fitness evolutionary trees and CNAs' evolutionary efficiency.
• chronoamperometry — A toolset for analyzing chronoamperometric data
• cimcb — This is a pre-release.