-

A package for working with BioVisionHierarchy files (motion capture data)

Implementation of the pHcalc library by Ryan Nelson at https://github.com/rnelsonchem/pHcalc

Parameter estimation under uncertainty.

-

-

Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

BaytesSMC.jl is a library to perform SMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl. Kernels that are defined in BaytesMCMC.jl and BaytesFilters.jl can be used inside this library.

A toolkit for progeny testing simulation

A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).

Optimization library for Baytes modules

A library to perform MCMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl.

Code for Dirichlet Random Models for Fuzzy Rand Adjustment

A library to perform particle filtering for one parameter in a `ModelWrapper` struct.

Run statistics in Julia

-

Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

Base package for JuliaPsychometricsBazaar ecosystem

Base package for JuliaPsychometricsBazaar ecosystem

-

Implementation of Persistent Homology Transform

-

-

Python extensions relating to Caesar.jl

Bayesian regression models for size-and-shape data

A thin wrapper around the python PyMBAR

Compute the Pearson correlation to be used in Gaussian copulas

Julia wrapper for the Python Rhodium package

Sole.jl base layer

-

Sparse sensor placement in Julia

-

SoilMulch

Reimplementation of a truncated multivariate distribution with fast, exact minimax-tilting based sampling.

Gaussian process models for spatial transcriptomics

-

Simple predictive models for tumor growth, and tools to apply them to clinical data

SignalTables Interface to GLMakie

More zeros than you can shake a stick at

Initial