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Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making by Subhajit Das is a nonfiction available to read on EtoBox.

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Decipher complex relationships with advanced R Master the fundamentals to advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applications Key Features: - Explore causal analysis with hands-on R tutorials and real-world examples - Grasp complex statistical methods by taking a detailed, easy-to-follow approach - Equip yourself with actionable insights and strategies for making data-driven decisions - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making. This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You'll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You'll discover techniqu

Who reads Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making?

Author

Subhajit Das

Publisher

Packt Publishing Pvt Ltd

Published

2024

Language

EN

ISBN

9781804611739

Category

nonfiction

Subjects

Science, Computer Science, Engineering