All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

ccrvam: A Python Package for Model-Free Exploratory Analysis of Multivariate Discrete Data with an Ordinal Response Variable

This work introduces ccrvam , a comprehensive Python package for Checkerboard Copula Regression-based Visualization and Association Measure analysis. The package provides researchers with efficient…

Read the full article
1y agoen

You might also wanna read

Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study

Background: Although machine learning has increasingly been used to predict mental health symptoms and maladaptive behaviors, real-world pre

JMIR·20h ago

vcdExtra 0.9.6: Extending Categorical Data Visualization in R with 3D Mosaic Plots and Model Support

Provides additional data sets, methods and documentation to complement the vcd package for Visualizing Categorical Data and the gnm package

friendly.github.io·1mo ago

Introducing dremioframe - A Pythonic DataFrame Interface for Dremio

> **Cross-posted.** This article's canonical home is [Iceberg Lakehouse](

datalakehousehub.com·7mo ago

SKKU Researchers Develop Bayesian Method (j-LANCE) for Hidden Dependence Structures in High-Dimensional Data

Achieving Theoretical guarantee and Computational Efficiency Simultaneously through the Development of j-LANCE, a Bayesian Joint Local Depen

newswise.com·1mo ago

CausalDS: Benchmarking Causal Reasoning in Data-Science Agents

arXiv:2607.08093v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly act as integrated data-science agents, combining

machinebrief.com·1d ago

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

arXiv:2607.08374v1 Announce Type: new Abstract: Personality recognition has traditionally been constrained by theory-dependent formulations,

machinebrief.com·1d ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.