Reverse Dependencies of statsmodels
The following projects have a declared dependency on statsmodels:
- 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
- cat-python — Cluster Alignment Tool
- 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.
- 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
- 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
- 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
- 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
- chady — A package for ML libraries
- ChainConsumer — ChainConsumer: Consumer your MCMC chains
- 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.
- cimcb-lite — A lite version of the cimcb package containing the necessary tools for the statistical analysis of untargeted and targeted metabolomics data.
- cinemaot — Causal INdependent Effect Module Attribution + Optimal Transport
- circmimi — A package for constructing CLIP-seq data-supported "circRNA - miRNA - mRNA" interactions
- circtools — circtools - a circular RNA toolbox
- cla — An integrated Python toolkit for classifiability analysis.
- clarite — CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures
- claspy — no summary
- classreg — data analysis
- cleanup-pypi — implementation of cleanup data
- cleanup-pypi-sushantsur23 — implementation of cleanup data
- clep — A Hybrid Data and Knowledge Driven Framework for Generating Patient Representations
- climada — CLIMADA in Python
- climalysis — A comprehensive toolkit for climate impact analysis.
- climaticai — climaticai is a library that builds, optimizes, and evaluates machine learning pipelines
- clumps-ptm — CLUMPS-PTM driver gene discovery using 3D protein structure (Getz Lab).
- clust-learn — A Python package for explainable cluster analysis
- cluster-experiments — no summary
- Clusters-Features — The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set.
- cnba — no summary
- cnmfsns — cNMF Solution Network Space
- CNTools — A package for identifying cellular neighborhoods
- co2mpas — The Type-Approving vehicle simulator predicting NEDC CO2 emissions from WLTP
- COAsT — This is the Coast Ocean Assessment Tool
- collinearity-tool — Identify multicollinearity issues by correlation, VIF, and visualizations.
- combinatorial-gwas — A package for the final project of MIT's 6.874 class Deep Learning in Life Science
- comdaan — This is a suite of tools for conducting analysis from data produced by FOSS
- comet-toolbox — Dynamic functional connectivity toolbox for multiverse analysis
- compactletterdisplay — A compact letter display implementation in Python, which summarizes results of posthoc comparisons.
- ComponentVis — Package to visualise component-based decomposition models such as PCA and PARAFAC
- comps — Similarity analysis and matching to support causal analysis and performance comparison
- concha — Concha finds the optimal amount of perishable goods to produce.
- conditional-inference — A statistics package for comparing multiple parameters.
- confidence-planner — A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.
- conformal-region-designer — Creates intelligently shaped conformal prediction regions that respect multimodality and convexity.
- connsearch — Analysis of connectivity data by dividing the connectome and fitting independent models
- converge-load-forecasting — no summary
- convml-tt — Neural Network based study of convective organisation
- coolbox — Jupyter notebook based genomic data visulization toolkit.
- coolpandas — A Python package for Exploratory Data Analysis.
- CoopIHC-ModelChecks — User modeling checks for computational HCI using CoopIHC.
- copper-bem — Performance curve generator for building energy simulation
- copula-wrapper — Top-level package for statsmodels copula wrapper.
- copulabayesnet — Test different copulas and use multivariate Gaussian copulas