21 References and Session Info

21.1 Session Info

21.1.1 R settings

sessionInfo()

#> R version 4.0.3 (2020-10-10)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 20.04.4 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/local/lib/R/lib/libRblas.so
#> LAPACK: /usr/local/lib/R/lib/libRlapack.so
#> 
#> locale:
#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=de_DE.UTF-8        LC_COLLATE=en_US.UTF-8    
#>  [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8   
#>  [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
#> 
#> attached base packages:
#> [1] parallel  stats     graphics  grDevices utils     datasets  methods  
#> [8] base     
#> 
#> other attached packages:
#>  [1] reticulate_1.22      bayesplot_1.8.1      mixedup_0.3.9       
#>  [4] tidybayes_3.0.1      rethinking_2.21      cmdstanr_0.4.0.9000 
#>  [7] rstan_2.21.2         StanHeaders_2.21.0-7 ggdag_0.2.3.9000    
#> [10] GGally_2.1.2         ggtext_0.1.1         brms_2.16.1         
#> [13] Rcpp_1.0.8           EnvStats_2.4.0       ggraph_2.0.5.9000   
#> [16] tidygraph_1.2.0      glue_1.6.2           patchwork_1.1.0.9000
#> [19] prismatic_1.0.0.9000 forcats_0.5.1        stringr_1.4.0       
#> [22] dplyr_1.0.8          purrr_0.3.4          readr_1.4.0         
#> [25] tidyr_1.2.0          tibble_3.1.6         ggplot2_3.3.5       
#> [28] tidyverse_1.3.0.9000
#> 
#> loaded via a namespace (and not attached):
#>   [1] readxl_1.3.1         backports_1.2.1      plyr_1.8.6          
#>   [4] igraph_1.2.11        svUnit_1.0.6         splines_4.0.3       
#>   [7] crosstalk_1.1.1      rstantools_2.1.1     inline_0.3.17       
#>  [10] digest_0.6.29        htmltools_0.5.2      viridis_0.5.1       
#>  [13] rsconnect_0.8.24     fansi_1.0.2          magrittr_2.0.2      
#>  [16] checkmate_2.0.0      graphlayouts_0.7.1   modelr_0.1.8        
#>  [19] RcppParallel_5.0.2   matrixStats_0.61.0   xts_0.12.1          
#>  [22] prettyunits_1.1.1    colorspace_2.0-3     rvest_1.0.0         
#>  [25] ggrepel_0.9.1        ggdist_3.0.1         haven_2.3.1         
#>  [28] xfun_0.29            callr_3.6.0          crayon_1.5.0        
#>  [31] jsonlite_1.8.0       lme4_1.1-26          zoo_1.8-8           
#>  [34] polyclip_1.10-0      gtable_0.3.0         V8_3.4.0            
#>  [37] distributional_0.2.2 pkgbuild_1.2.0       shape_1.4.5         
#>  [40] abind_1.4-5          scales_1.1.1         mvtnorm_1.1-2       
#>  [43] DBI_1.1.2            miniUI_0.1.1.1       gridtext_0.1.4      
#>  [46] viridisLite_0.4.0    xtable_1.8-4         stats4_4.0.3        
#>  [49] DT_0.17              htmlwidgets_1.5.3    httr_1.4.2          
#>  [52] threejs_0.3.3        arrayhelpers_1.1-0   RColorBrewer_1.1-2  
#>  [55] posterior_1.1.0      ellipsis_0.3.2       reshape_0.8.8       
#>  [58] pkgconfig_2.0.3      loo_2.4.1            farver_2.1.0        
#>  [61] sass_0.4.0.9000      dbplyr_2.1.1         utf8_1.2.2          
#>  [64] tidyselect_1.1.2     rlang_1.0.1          reshape2_1.4.4      
#>  [67] later_1.3.0          munsell_0.5.0        cellranger_1.1.0    
#>  [70] tools_4.0.3          cli_3.2.0            generics_0.1.2      
#>  [73] broom_0.7.6          ggridges_0.5.2       evaluate_0.14       
#>  [76] fastmap_1.1.0        yaml_2.2.3           processx_3.5.1      
#>  [79] knitr_1.37           fs_1.5.2             nlme_3.1-149        
#>  [82] mime_0.12            projpred_2.0.2       xml2_1.3.3          
#>  [85] compiler_4.0.3       shinythemes_1.2.0    rstudioapi_0.13     
#>  [88] png_0.1-7            curl_4.3.2           gamm4_0.2-6         
#>  [91] reprex_2.0.0         statmod_1.4.35       tweenr_1.0.2        
#>  [94] bslib_0.3.1          stringi_1.7.6        ps_1.6.0            
#>  [97] Brobdingnag_1.2-6    lattice_0.20-41      Matrix_1.2-18       
#> [100] nloptr_1.2.2.2       markdown_1.1         shinyjs_2.0.0       
#> [103] tensorA_0.36.1       vctrs_0.3.8          pillar_1.7.0        
#> [106] lifecycle_1.0.1      jquerylib_0.1.4      bridgesampling_1.1-2
#> [109] httpuv_1.6.5         R6_2.5.1             bookdown_0.24       
#> [112] promises_1.2.0.1     gridExtra_2.3        codetools_0.2-16    
#> [115] boot_1.3-25          colourpicker_1.1.1   MASS_7.3-53         
#> [118] gtools_3.8.2         assertthat_0.2.1     withr_2.4.3         
#> [121] shinystan_2.5.0      mgcv_1.8-33          hms_1.1.1           
#> [124] grid_4.0.3           coda_0.19-4          minqa_1.2.4         
#> [127] rmarkdown_2.11.15    ggforce_0.3.2.9000   shiny_1.6.0         
#> [130] lubridate_1.7.10     base64enc_0.1-3      dygraphs_1.1.1.6

21.1.2 Python settings

import arviz as az
import matplotlib.pyplot as plt
import numpy as np
import pymc3 as pm
import scipy.stats as stats
import seaborn as sns
import matplotlib
from matplotlib.colors import ListedColormap
import matplotlib.font_manager
import session_info

session_info.show(html = False)

#> -----
#> arviz               0.11.4
#> matplotlib          3.5.1
#> numpy               1.21.4
#> pymc3               3.11.4
#> scipy               1.7.3
#> seaborn             0.11.2
#> session_info        1.0.0
#> -----
#> IPython             7.29.0
#> jupyter_client      7.1.2
#> jupyter_core        4.9.1
#> jupyterlab          3.2.9
#> notebook            6.4.8
#> -----
#> Python 3.8.8 (default, Apr 13 2021, 20:00:26) [GCC 7.3.0]
#> Linux-5.13.0-35-generic-x86_64-with-glibc2.10
#> -----
#> Session information updated at 2022-03-21 20:03

21.2 References

Kurt, Will. 2019. Bayesian Statistics the Fun Way : Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks. San Francisco: No Starch Press, Inc.

McElreath, Richard. 2020. Statistical Rethinking : A Bayesian Course with Examples in R and Stan. Second. Boca Raton: Chapman & Hall/CRC.

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