This case study uses theoretical modeling to explore an orangutan’s foraging decisions through the lens of the Marginal Value Theorem (MVT). Wawa, an orangutan in the rainforests of Kalimantan, must decide how long to stay in a patch of fig trees where fruit is initially abundant but gradually depletes due to her consumption, competition, and natural ripening cycles. The goal: to identify the point where leaving maximizes Wawa’s long-term gain rate, ensuring efficient and sustainable foraging.

This page showcases my solutions to exercises from "An Introduction to Bayesian Data Analysis for Cognitive Science" by Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth, demonstrating my proficiency in R programming. Chapters are separated into different files. This page presents R snippet codes for exercise 1.1 to 1.8 in chapter 1 Probability.

This answer sheet is my solutions to exercises from "An Introduction to Bayesian Data Analysis for Cognitive Science" by Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth, demonstrating my proficiency in R programming. Chapters are separated into different files. This page presents R codes for exercises in chapter 3 Computational Bayesian data analysis

This answer sheet is my solutions to exercises from “An Introduction to Bayesian Data Analysis for Cognitive Science” by Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth, demonstrating my proficiency in R programming. Chapters are separated into different files. This page presents R codes for exercise 5.8 The grammaticality illusion in chapter 5 Bayesian Hierarchical Models.