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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