JOSS Papers: regression models

All Papers
3349
 Published Papers
2952
 Active Papers
397
published Published about 1 year ago

PerMetrics: A Framework of Performance Metrics for Machine Learning Models

Python
@thieu1995
10.21105/joss.06143
published Published over 1 year ago

sparse-lm: Sparse linear regression models in Python

Python
@lbluque
10.21105/joss.05867
published Published over 2 years ago

metrica: an R package to evaluate prediction performance of regression and classification point-forecast models

R
@adriancorrendo
10.21105/joss.04655
published Published about 3 years ago

PySINDy: A comprehensive Python package for robust sparse system identification

Python
@akaptano
10.21105/joss.03994
published Published almost 4 years ago

fitgrid: A Python package for multi-channel event-related time series regression modeling

@turbach
10.21105/joss.03293
published Published almost 4 years ago

performance: An R Package for Assessment, Comparison and Testing of Statistical Models

R
@strengejacke
10.21105/joss.03139
published Published over 4 years ago

effectsize: Estimation of Effect Size Indices and Standardized Parameters

R
@mattansb
10.21105/joss.02815
published Published over 4 years ago

Extracting, Computing and Exploring the Parameters of Statistical Models using R

R Rebol
@strengejacke
10.21105/joss.02445
published Published over 4 years ago

TEfits: Nonlinear regression for time-evolving indices

R
@akcochrane
10.21105/joss.02535
published Published almost 5 years ago

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Python
@briandesilva
10.21105/joss.02104
Displaying papers 1 - 10 of 17 in total

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ISSN 2475-9066