Reverse Dependencies of arviz

The following projects have a declared dependency on arviz:

• abayestest — no summary
• abexp — Python A/B testing experiment library
• astroemperor — PTMCMC sampler for exoplanet search
• AutoEis — A tool for automated EIS analysis by proposing statistically plausible ECMs.
• autoemcee — Run affine-invariant sampler in automated fashion until convergence.
• bab — Bayesian estimation for A / B testing
• babbab — BAyesian Beta-Binomial AB testing (BABBAB), is an implementation
• bambi — BAyesian Model Building Interface in Python
• bask — A fully Bayesian implementation of sequential model-based optimization
• bayes-toolbox — A package for performing Bayesian analyses.
• BayesBlend — Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stacking, and more!
• bayesbuilding — Bayesian approach for building energy modeling
• bayesfrag — Bayesian estimation of empirical seismic fragility functions
• bayesian-multitarget-latent-factors — Fits and explores the posterior of a Bayesian Latent Factor model with multiple functional targets
• bayesn — Hierarchical Bayesian modelling of type Ia SNe
• bayespropestimation — Class method for the Bayesian estimation and comparison of proportions
• bayestestimation — Class method for Bayesian estimation and comparison of means
• bayeux-ml — Stitching together probabilistic models and inference.
• beanmachine — Probabilistic Programming Language for Bayesian Inference
• bebi103 — Python utilities for the Caltech course BE/Bi 103: Data Analysis in the Biological Sciences.
• best — Bayesian estimation supersedes the t-test
• bibat — Batteries-included Bayesian analysis template
• birdman — Framework for differential microbiome abundance using Bayesian inference
• bmiselect — Bayesian MI-LASSO for variable selection on multiply-imputed data.
• BMSS — A package for dyanmic model analysis.
• BRACoD — BRACoD is a method to identify associations between bacteria and physiological variables in Microbiome data
• brav0 — Bayesian Radial Velcoity Zero-Point Correction
• CADETMatch — CADETMatch is a parameter estimation and error modeling library for CADET
• caretta — Fast multiple protein structure alignment
• catalax — A JAX-based framework for (neural) ODE modelling in biocatalysis.
• CausalPy — Causal inference for quasi-experiments in Python
• cca-zoo — Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
• cell2location — cell2location: High-throughput spatial mapping of cell types
• chi-drm — Package to model dose response dynamics
• ckbit — Kinetic Bayesian Inference
• clophfit — Cli for fitting macromolecule pH titration or binding assays data e.g. fluorescence spectra.
• cofi — Common Framework for Inference
• confusion-matrix-uncertainty — no summary
• copepodTCR — COmbinatorial PEptide POoling for TCR specificity
• corner — Make some beautiful corner plots
• covid_sicr — Global estimation of unobserved COVID-19 infection
• CUQIpy — Computational Uncertainty Quantification for Inverse problems in Python
• dats-lab — Data Science Utilities & Helpers
• dcss — Utilities for the book Doing Computational Social Science
• dynetlsm — dynetlsm
• econx — Advanced Financial Econometrics
• epigraphhub — Epigraphhub Python package
• epimargin — Toolkit for estimating epidemiological metrics and evaluating public health and economic policies.
• episuite — A suite of tools for epidemiology in Python
• estival — A set of calibration and probabilistic programming tools for use with summerepi2
• exowirc — Image data reduction and calibration tool for the WIRC instrument
• followthemoney-compare — no summary
• fulmar-astro — Follow-Up Lightcurves Multitool Assisting Radial velocities
• gEconpy — A package for solving, estimating, and analyzing DSGE models
• gene-outlier-detection — A Bayesian model for identifying gene expression outliers for individual single samples (N-of-1) when compared to a cohort of background datasets.
• geosss — Python package implementing an ideal and shrinkage-based geodesic slice sampling on the sphere.
• gumbi — Gaussian Process Model Building Interface
• hbayesdm — Python interface for hBayesDM, hierarchical Bayesian modeling of RL-DM tasks
• hbmep — Package for hierarchical Bayesian modeling of Motor Evoked Potential (MEP) size
• HLAfreq — Download and combine HLA frequency data from multiple studies
• hopsy — A python interface for hops, the highly optimized polytope sampling toolbox.
• hssm — Bayesian inference for hierarchical sequential sampling models.
• icomo — This toolbox aims to simplify the construction of compartmental models and the inference of their parameters
• jaxoplanet — Probabilistic models for exoplanet inference in JAX
• jrpystan — Jumping Rivers: Introduction to Bayesian inference using PyStan
• kingpin-tgp — Treed Gaussian Process
• kulprit — Kullback-Leibler projections for Bayesian model selection.
• l2hmc — L2HMC algorithm for sampling in Lattice QCD
• liesel — A probabilistic programming framework with a focus on semi-parametric regression
• lightweight-mmm — Package for Media-Mix-Modelling
• loupiotes — Module for starspot modelling
• lqg — (Inverse) optimal control for linear-quadratic Gaussian systems
• lucius-ltv — A simple multicohort LTV calculator for subscription based products
• maud-metabolic-models — Bayesian statistical models of metabolic networks
• mellow-strategy-sdk — Framework for creating new Uniswap V3 strategies
• merph — Bayesian methods for inferring mass eruption rate for column height (or vice versa) for volcanic eruptions
• mod16 — Python tools for MOD16 algorithm
• modelflows — Conditional normalizing flows for emulating grids of stellar models
• MPoL — Regularized Maximum Likelihood Imaging for Radio Astronomy
• nazgul — A code for fitting random Fourier features to time-seires for the IPN
• nmma — A nuclear physics multi-messenger Bayesian inference library
• numpyro — Pyro PPL on NumPy
• nutpie — Sample Stan or PyMC models
• occuspytial — 'A package for bayesian analysis of spatial occupancy models'
• orbit-ml — Orbit is a package for Bayesian time series modeling and inference.
• peak-performance — A Python toolbox to fit chromatography peaks with uncertainty.
• pertpy — Perturbation Analysis in the scverse ecosystem.
• pfolio — Portfolio Management Library, including analysis, analytics and optimization
• pgmuvi — A python package to interpret multiwavelength astronomical timeseries with GPs
• PhyloJunction — A Python environment for protopying, simulating, and learning with evolutionary models
• pm-pyro — A PyMC3-like Interface for Pyro Stochastic Functions
• pplbench — Evaluation framework for probabilistic programming languages
• preliz — The place for all your prior elicitation needs.
• probeye — A general framework for setting up parameter estimation problems.
• pybatman — Package for predicting peptide mutation effects on T cell receptor activation.
• pybaycor — A package for Bayesian inference of correlations
• pybefit — Probabilistic inference for models of behaviour
• pyeach — A Cone Health Enterprise Analytics package.
• pyei — no summary
• pyhgf — The generalized, nodalized HGF for predictive coding.