Class materials for FW 891: Applied Bayesian Modeling for Natural
Resource Management. In this repository you will find the syllabus,
lecture materials (.qmd, .pdf file extensions), R code (R/ folders),
Stan code (src/ folders), and data (data/ folders) for in-class
exercises and lessons. Also, see homework folders.
Project Rubric: https://qfcatmsu.github.io/FW-Bayes/rubric/Rubric.html
Syllabus: https://qfcatmsu.github.io/FW-Bayes/syllabus/FW891syllabus.html
Lesson 1 (8/28/2023):
https://qfcatmsu.github.io/FW-Bayes/week1/lec1.html
Lesson 2 (8/30/2023):
https://qfcatmsu.github.io/FW-Bayes/week1/lec2.html
Lesson 3 (9/6/2023):
https://qfcatmsu.github.io/FW-Bayes/week2/lec3.html
Lesson 4 (9/11/2023):
https://qfcatmsu.github.io/FW-Bayes/week3/lec4.html
Lesson 5: https://qfcatmsu.github.io/FW-Bayes/week3/lec5.html
Lesson 6: https://qfcatmsu.github.io/FW-Bayes/week4/lec6.html
Lesson 7: https://qfcatmsu.github.io/FW-Bayes/week5/lec7.html
Lesson 8: https://qfcatmsu.github.io/FW-Bayes/week5/lec8.html
Lesson 9: https://qfcatmsu.github.io/FW-Bayes/week6/lec9.html
Lesson 10: https://qfcatmsu.github.io/FW-Bayes/week7/lec10.html
Lesson 11: https://qfcatmsu.github.io/FW-Bayes/week8/lec11b.html
Lesson 12: https://qfcatmsu.github.io/FW-Bayes/week9/lec12.html
Lesson 13: https://qfcatmsu.github.io/FW-Bayes/week9/lec13.html
Lesson 14: https://qfcatmsu.github.io/FW-Bayes/week10/lec14.html
Lectures/labs (assuming I don’t forget) will be posted here after
class:
https://mediaspace.msu.edu/channel/FW891_Bayesian/
You will need to log in with your MSU ID/ Guest ID
In this class we will be using the following software packages / libraries: cmdStanR, tidyverse, tidybayes, and gg-qfc.
The software installation instructions for the class are here:
https://qfcatmsu.github.io/FW-Bayes/installation/software_installation.html
Please make sure you go through the installation before class starts