Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
CEO of Paul M. Wendee & Associates, LLC; Publisher of the Intrinsic Value Wealth Report Newsletter; Founder of the Value Driver Institute. To make sound business and investment decisions, business ...
What if the tool you’ve been waiting for could not only catch errors in your Python code instantly but also handle millions of lines with lightning speed? Enter Pyrefly, Meta’s latest innovation in ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.
Dataset: survey ratings (1–10 scale) Target variable: Writing Methods: CUB (in R), Proportional Odds Model (in Python) Goal: Compare model adequacy and interpret ordinal responses ...
Abstract: Closed-loop control is widely adopted in industrial processes. It brings challenges for dynamic latent modeling and monitoring. Multirate process measurements in real applications even ...
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