Empirical Bayes mean estimation with nonparametric errors via order statistic regression in Julia (https://arxiv.org/abs/1911.05970)

A single-cell RNA sequencing data analysis toolkit in Julia.

Dirac operators for lattice QCD with Julia

Lathe is an inclusive Predictive Learning module for Julia

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Population dynamics across space, in Julia.

Geostatistical functions for the GeoStats.jl framework

Implicitly defined graphs (possibly infinite)

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

-

Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data

-

Manifolds for the natural parameters of members of the exponential family of distributions

Causal forests following HTERF method and their interpretabilty

Geostatistical learning solvers for the GeoStats.jl framework

A Julia package for probability distributions member of the Exponential family

Conduct one-way and multi-way anova in Julia with GLM.jl

Generate simulated DNA sequences for regulatory genomics problems

A Julia package for grid-based adaptive design optimization.

Atmospheric aNd Instrument models in the Measurement Equation

Package for solving generalized BdG mean field theory of interacting systems.

-

Hypothesis Tests for Validating MCMC Kernels

Analysis of life tables implemented in Julia.

Generate nice reports from MCMC-based approximations

Implementation of the Persistent Homology Transform

Fast forward simulations of extragalactic foregrounds

Julia package for automating phylogenetic factor analysis model selection

Cloudy Mountain Plot function in Julia

MCMCDebugging.jl: debugging utilities for MCMC samplers

-

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

-

Analysis of Gaussian models on phylogenetic networks using belief propagation (aka message passing)

-

Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.

-

A Julia package for integrative cluster analysis of multiple genomics datasets

Models of gas-phase atmospheric chemistry and related processes

This Package comprises a collection of ensemble algorithms for prediction, in order to improve the predictive performance for classification and regression problems.