JOSS Papers: mixed models

All Papers
4113
 Published Papers
3746
 Active Papers
367
published Published about 1 month ago

PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python

Python
@williambdean
10.21105/joss.10805
published Published 6 months ago

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

Python
@adityapt
10.21105/joss.09914
published Published about 2 years ago

Additive Bayesian Networks

R M4
@matteodelucchi
10.21105/joss.06822
published Published over 2 years ago

Taweret: a Python package for Bayesian model mixing

@ominusliticus
10.21105/joss.06175
published Published over 3 years ago

pysr3: A Python Package for Sparse Relaxed Regularized Regression

Python
@aksholokhov
10.21105/joss.05155
published Published over 4 years ago

GBOML: Graph-Based Optimization Modeling Language

Python
@MiftariB
10.21105/joss.04158
published Published over 4 years ago

pyFBS: A Python package for Frequency Based Substructuring

Python
@tb93
10.21105/joss.03399
published Published almost 5 years ago

GGMnonreg: Non-Regularized Gaussian Graphical Models in R

R
@donaldRwilliams
10.21105/joss.03308
published Published over 6 years ago

mimosa: A Modern Graphical User Interface for 2-level Mixed Models

R
@johannes-titz
10.21105/joss.02116
published Published almost 8 years ago

Pymer4: Connecting R and Python for Linear Mixed Modeling

Python
@ejolly
10.21105/joss.00862
Displaying 10 papers

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ISSN 2475-9066