JOSS Papers: regression

Published Papers

published Published about 1 month ago

OpenTURNS: A Python package for uncertainty quantification

C++ NSIS

10.21105/joss.10484

published Published 3 months ago

open_nipals: An sklearn-compatible Python package for NIPALS dimensionality reduction

Jupyter Notebook Python

@nielsschlusser

10.21105/joss.08598

published Published 5 months ago

GaPFlow: Gap-averaged flow simulations with Gaussian process regression

Python

10.21105/joss.09645

published Published 9 months ago

gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data

R C++

10.21105/joss.08991

published Published 11 months ago

PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization

Python

10.21105/joss.08815

published Published 11 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 11 months ago

fgwqsr: An R package for Frequentist Grouped Weighted Quantile Sum Regression

10.21105/joss.08692

published Published 12 months ago

Adaptive Resonance Lib: A Python package for Adaptive Resonance Theory (ART) models

Python C++

10.21105/joss.07764

published Published 12 months ago

Abil: A Python package for the interpolation of aquatic biogeochemical datasets

Python Jupyter Notebook

10.21105/joss.08755

published Published over 1 year ago

Minterpy: multivariate polynomial interpolation in Python

Python

@damar-wicaksono

10.21105/joss.07702

Displaying papers 1 - 10 of 68 in total

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