Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

mcp: Regression with Multiple Change Points mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to ...

Datasets were created for autumn, winter, and spring, with season-specific variables with respect to the place of study in the state of Assam, India. Multiple Linear Regression (MLR) and Artificial ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

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This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...

The performance of UHPC-CA was predicted in this paper based on five prediction models: multiple linear regression, multiple nonlinear regression, traditional neural network (T-BP), principal ...