JOSS Papers: statistical-models

Published Papers

published Published about 2 months ago

modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions

R

@DominiqueMakowski

10.21105/joss.07969

published Published 2 months ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python

10.21105/joss.06256

published Published 7 months ago

spatPomp: An R package for spatiotemporal partially observed Markov process models

R C++ C

10.21105/joss.07008

published Published 12 months ago

TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results

Python

@EhsanGharibNezhad

10.21105/joss.06346

published Published about 1 year ago

scores: A Python package for verifying and evaluating models and predictions with xarray

Python Jupyter Notebook

10.21105/joss.06889

published Published about 1 year ago

Multivariate Covariance Generalized Linear Models in Python: The mcglm library

Python R Jupyter Notebook JavaScript

10.21105/joss.06037

published Published about 1 year ago

pivmet: an R package proposing pivotal methods for consensus clustering and mixture modelling

R

10.21105/joss.06461

published Published almost 2 years ago

lavaanExtra: Convenience Functions for Package lavaan

R

10.21105/joss.05701

published Published about 2 years ago

minorbsem: An R package for structural equation models that account for the influence of minor factors

R Stan C++

10.21105/joss.05292

published Published about 2 years ago

PyVBMC: Efficient Bayesian inference in Python

Python

10.21105/joss.05428

Displaying papers 1 - 10 of 26 in total

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