GitHub

StatsPAI: an Agent&Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
C&EN

A Multilinear Regression Procedure for Solving the Inverse Problem with Physics-Informed Neural Networks: Application to Three Case Studies in Chemical Engineering

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...
Frontiers

PNNGS, a multi-convolutional parallel neural network for genomic selection

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we ...
GitHub

HLR - Hierarchical Linear Regression in Python

It is built to work with Pandas dataframes, uses SciPy, statsmodels and pingouin under the hood, and runs diagnostic tests for testing assumptions while plotting figures with matplotlib and seaborn.
C&EN

Do Residual Solvent Molecules Always Hinder Gas Sorption in Metal–Organic Frameworks?

School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K. Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and ...
Hacker

Random Forest Regression in R: Code and Interpretation

Combines ideas from data science, humanities and social sciences. Views are my own. Random forest is one of the most popular algorithms for multiple machine learning tasks. This story looks into ...