Non parametric productivity analysis under the B-disposal assumption

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Using a population of profiles to approximate the real motifs

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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.

Utility library for interacting with Dewesoft DWDataReaderLib shared library in the Julia programming language

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.

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

Postprocessing of data obtained by numerical simulations or measurements

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

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Core structures that are shared for various Baytes modules

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Bayesian regression models for size-and-shape data

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A simple package for MTK-based model testing

Solve a Partial Equilibrium Model for a given economic sector of arbitrary p products and r regions

Orthographic systems of manuscripts in Homer Mulittext project

Julia implementation of the Bayesian blocks algorithm

Test cases for BAT.jl and for Bayesian Julia software in general

Utilities to help testing new groups and actions with Manifolds.jl

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DEPRECATED. Mamba versions of StatisticalRethinking models.

A Julia package for the analysis of frequency-magnitude distributions of earthquakes

A julia package for working with texts in Lycian.

Instrument-speciifc code for RvSpectML

Simple echogram displays of arbitrary matrices in Julia.

A Julia module for working with an editorial repository organized following HCMID conventions.

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

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Base data analysis methods for Paliquant