10  Big Entropy and the Generalized Linear Model

There are no models for us to code in this chapter. Instead, here are the links to a few of McElreath’s lectures on the material on this chapter of the text. Enjoy!

Session info

sessionInfo()
R version 4.4.0 (2024-04-24)
Platform: aarch64-apple-darwin20
Running under: macOS Ventura 13.4

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: America/Chicago
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] assertthat_0.2.1  digest_0.6.35     R6_2.5.1          fastmap_1.1.1    
 [5] xfun_0.43         magrittr_2.0.3    glue_1.7.0        stringr_1.5.1    
 [9] knitr_1.46        htmltools_0.5.8.1 rmarkdown_2.26    lifecycle_1.0.4  
[13] cli_3.6.3         vctrs_0.6.5       compiler_4.4.0    httr_1.4.7       
[17] vembedr_0.1.5     rstudioapi_0.16.0 tools_4.4.0       curl_5.2.1       
[21] evaluate_0.23     yaml_2.3.8        rlang_1.1.4       jsonlite_1.8.8   
[25] htmlwidgets_1.6.4 stringi_1.8.4    

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