Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• 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
• classifier-toolkit — 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
• clria — Package to decipher LRI-mediated brain network communication
• 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.
• cmoat — A toolkit for analysising cancer genomics & proteomics.
• 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
• codeboxapi — CodeBox gives you an easy scalable and isolated python interpreter for your LLM Agents.
• codiac — CoDIAC: Comprehensive Domain Interface Anlysis of Contacts
• codpy — An RKHS based module for numerics, statistic and machine learning
• colibripy — The package contains statsitical tests such as one-sample, two-sample and paired t-test. Residual analysis and plotting are also supported.
• CollabAgents — CollabAgents is a Python framework developed by Vishnu D. for developing AI agents equipped with specialized roles and tools to handle complex user requests efficiently. Users have 100 percent control over their prompts.
• 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
• combinedpackmsnk — A comprehensive package for data analysis, visualization, preprocessing, and machine learning to minimize code and maximize insights.
• comdaan — This is a suite of tools for conducting analysis from data produced by FOSS
• comet-toolbox — Dynamic functional connectivity toolbox for multiverse analysis
• common-regression-issues — A repo to store information about and simulations of common regression issues
• compactletterdisplay — A compact letter display implementation in Python, which summarizes results of posthoc comparisons.
• comparative-r-squared — Package for calculating Comparative R Squared
• 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
• 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.
• copairs — Find pairs and compute metrics between them
• copper-bem — Performance curve generator for building energy simulation
• copul — Mathematical computation and visualization of bivariate copulas.
• copula-wrapper — Top-level package for statsmodels copula wrapper.
• copulabayesnet — Test different copulas and use multivariate Gaussian copulas
• copulae — Python copulae library for dependency modelling
• CorALS — CorALS is an open-source software package for the construction and analysis of large-scale correlation networks for high-dimensional data.
• corgidrp — (Roman Space Telescope) CORonaGraph Instrument Data Reduction Pipeline
• corncob — beta-binomial based testing of count data
• corr-shap — This package is an extension of the KernelExplainer of shap package that explains the output of any machine learning model, taking into account dependencies between features.
• correlationinspector — Un package Python pour analyser la corrélation, incluant des tests de normalité, de linéarité, et des visualisations pour évaluer les relations entre variables.
• cosmoabc — Python ABC sampler
• cosmoDA — Compositional Score Matching Optimization for Differential Abundance Testing
• cospar — A toolkit for dynamic inference of cell fate by integrating state and lineage information.
• coss — Python tools for spatial interpolation
• cost_model_queries — Functions for sampling cost models and performing sensitivity analyses and regressions on cost model data.
• counhto — Python package for generating and demultiplexing hash tag oligo count matrices from cellranger output
• covasim — COVID-19 Agent-based Simulator
• CoVEMDA — CoronaVirus - Electricity Market Data Analyzer (CoVEMDA)
• cowbase — A Python package for data processing of Automatic Milking System data
• cppquant — Simple tool to compare cpp quant results
• cpsplines — Constrained P-splines
• cptac — Python packaging for CPTAC data
• CRADLE — Correct Read Counts and Analysis of Differently Expressed Regions
• crashs — CRASHS: Cortical Reconstruction for Automated Segmentation of Hippocampal Subfields (ASHS)
• creditPortfolioAnalytics — A Python powered library for calculating semi-analytic credit portfolio loss metrics
• creditpy — A package for credit scoring analysis
• credoai-lens — Lens: comprehensive assessment framework for AI systems
• crim-intervals — CRIM intervals package
• crispector2 — CRISPECTOR2 - Genome Editing Analysis Tool, with allele extension
• crispr-bean — Base Editor screen analysis [Bayesian Estimation of variant effect] with guide Activity Normalization
• crispr-chronos — Time series modeling of CRISPR perturbation readcounts in biological data
• crowdnalysis — Library to help analyze crowdsourcing results
• crusty — A convinience python package for HPC computation, large dataset handling and plotting.
• CrypticPhenoImpute — Imputes cryptic phenotypes analyzed in Blair et al. into arbitrary clinical datasets.
• crypto-strategy — Repo to create crypto strategies
• cryptodatapy — Cryptoasset data library
• cs1 — Compressed Sensing library for 1D Spectroscopic Profiling Data
• cs107-team31-2023 — An API for interfacing with the Sloan Digital Sky Survey
• CTDFjorder — A package for processing and analyzing CTD data.
• cubat — CUBAT -- CUB Analysis Toolkit
• CureQ — Library for analyzing MEA files.
• curvanato — Anatomical curvature processing for medical images.
• curve-curator — CurveCurator is an open-source analysis platform for any dose-dependent data. It fits a classical 4-parameter equation to estimate effect potency, effect size, and the statistical significance of the observed response. 2D-thresholding efficiently reduces false positives in high-throughput experiments and separates relevant from irrelevant or insignificant hits in an automated and unbiased manner. An interactive dashboard allows users to quickly explore data locally.
• CurvyCUSIPs — UST Research Tools
• custom-bench — This is a simple benchmarking library for Python3 designed to be easy to understand and use.
• custom-bench-fsr — This is a sample package which follows the instructions for publishing a Python package to PyPI.
• cvasl-gui — A GUI for the cvasl package
• cvrmap — CVRmap is an opensource software to compute maps of Cerebro-Vascular Reactivity
• cwas — Category-wide association study (CWAS). This is a data analytic tool to perform stringent association tests to find non-coding loci associated with autism spectrum disorder (ASD).