/mcmc

Bayesian analysis of sports league data from 2019–2020 NFL Season using MCMC.

Primary LanguageHTML

mcmc

Bayesian analysis of sports league data from 2019–2020 NFL Season; Implementation of STAT8056 doing assignment 4 by Yifei Liu

  • .Rhistory and .Rprofile are used for convenience only for my PC.
  • mcmchw.R contains all R codes I used for this assignment.
  • mout.RData, mout_Q1.RData and mout_Q2.RData contain R objects mout, mout_1 and mout_2 returned from mcmc::metrop(), I saved them so that I can save compiling time of 8054.Rmd simply by loading them into R workspace when they are needed, with
    • mout for the chain of $\boldsymbol \beta$
    • mout_1 for the chain in Question 1 (replay the final game), and
    • mout_2 for the chain in Question 2 (replay the whole playoffs)
  • 8054hw.Rmd is used for generating the report 8054hw.html, one can reproduce the work via: 
    library(rmarkdown)
render("8054hw.Rmd", html_document(number_sections = TRUE, toc = TRUE))
    and make sure you have aforementioned three .RData files in the same work directory before the compiling.