JOSS Papers: selection

Published Papers

published Published 2 months ago

AssumpSure: a user‑friendly R Shiny package for automated validation of statistical assumptions and appropriate test selection

R

10.21105/joss.09286

published Published 3 months ago

NonSysId: Nonlinear System Identification with Improved Model Term Selection for NARMAX Models

MATLAB

10.21105/joss.08028

published Published 5 months ago

PyCCEA: A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data

Python

10.21105/joss.08348

published Published 7 months ago

<code>diverse-seq</code>: an application for alignment-free selecting and clustering biological sequences

Python Jupyter Notebook

10.21105/joss.07765

published Published 9 months ago

fastfrechet: An R package for fast implementation of Fréchet regression with distributional responses

R C++

@alexandercoulter

10.21105/joss.07925

published Published about 1 year ago

PhenoFeatureFinder: a python package for linking developmental phenotypes to omics features

Python Jupyter Notebook

10.21105/joss.07264

published Published about 1 year ago

Eaglescope: an interactive visualization and cohort selection tool for biomedical data exploration.

JavaScript

10.21105/joss.06837

published Published about 2 years ago

pudu: A Python library for agnostic feature selection and explainability of Machine Learning spectroscopic problems

Python

10.21105/joss.05873

published Published over 2 years ago

Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics in R

R C++ Stan

10.21105/joss.05612

published Published over 2 years ago

pysr3: A Python Package for Sparse Relaxed Regularized Regression

Python

10.21105/joss.05155

Displaying papers 1 - 10 of 37 in total

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