実行環境
## R version 4.2.2 (2022-10-31 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 22621)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=Japanese_Japan.utf8 LC_CTYPE=Japanese_Japan.utf8
## [3] LC_MONETARY=Japanese_Japan.utf8 LC_NUMERIC=C
## [5] LC_TIME=Japanese_Japan.utf8
##
## attached base packages:
## [1] parallel splines stats graphics grDevices utils datasets
## [8] methods base
##
## other attached packages:
## [1] ggeffects_1.1.4 fontregisterer_0.3
## [3] systemfonts_1.0.4 extrafont_0.18
## [5] gganimate_1.0.8 lemon_0.4.6
## [7] ggsci_2.9 concaveman_1.1.0
## [9] ggforce_0.4.1 ggdag_0.2.7
## [11] dagitty_0.3-1 kableExtra_1.3.4
## [13] knitr_1.43 DT_0.27
## [15] patchwork_1.1.2 GGally_2.1.2
## [17] ggnewscale_0.4.9 htmlwidgets_1.6.2
## [19] plotly_4.10.1 sp_1.5-1
## [21] data.table_1.14.6 see_0.7.5.5
## [23] report_0.5.7.4 parameters_0.20.3
## [25] performance_0.10.3 modelbased_0.8.6.3
## [27] insight_0.19.1.4 effectsize_0.8.3.6
## [29] datawizard_0.7.1.1 correlation_0.8.4
## [31] bayestestR_0.13.1 easystats_0.6.0.8
## [33] forcats_1.0.0 stringr_1.5.0
## [35] dplyr_1.1.2 purrr_1.0.0
## [37] readr_2.1.3 tidyr_1.2.1
## [39] tibble_3.2.1 ggplot2_3.4.2
## [41] tidyverse_1.3.2 DHARMa.helpers_0.0.0.9000
## [43] DHARMa_0.4.6 cmdstanr_0.5.3
## [45] rstan_2.26.13 StanHeaders_2.26.13
## [47] brms_2.18.0 Rcpp_1.0.11
## [49] gstat_2.1-1 gratia_0.8.1.34
## [51] gamlss_5.4-12 gamlss.dist_6.0-5
## [53] MASS_7.3-58.1 gamlss.data_6.0-2
## [55] mgcv_1.8-41 nlme_3.1-160
##
## loaded via a namespace (and not attached):
## [1] estimability_1.4.1 spacetime_1.3-0 coda_0.19-4
## [4] intervals_0.15.4 bit64_4.0.5 dygraphs_1.1.1.6
## [7] inline_0.3.19 doParallel_1.0.17 generics_0.1.3
## [10] callr_3.7.3 mvnfast_0.2.8 bit_4.0.5
## [13] tzdb_0.3.0 webshot_0.5.4 xml2_1.3.3
## [16] lubridate_1.9.0 httpuv_1.6.7 assertthat_0.2.1
## [19] gargle_1.2.1 xfun_0.39 hms_1.1.3
## [22] jquerylib_0.1.4 bayesplot_1.10.0 evaluate_0.20
## [25] promises_1.2.0.1 fansi_1.0.3 progress_1.2.2
## [28] dbplyr_2.2.1 readxl_1.4.1 igraph_1.3.5
## [31] DBI_1.1.3 reshape_0.8.9 tensorA_0.36.2
## [34] googledrive_2.0.0 stats4_4.2.2 ellipsis_0.3.2
## [37] crosstalk_1.2.0 backports_1.4.1 V8_4.2.2
## [40] bookdown_0.34 markdown_1.7 RcppParallel_5.1.6
## [43] vctrs_0.6.2 abind_1.4-5 cachem_1.0.6
## [46] withr_2.5.0 checkmate_2.1.0 vroom_1.6.0
## [49] emmeans_1.8.3 xts_0.12.2 prettyunits_1.1.1
## [52] svglite_2.1.1 lazyeval_0.2.2 crayon_1.5.2
## [55] pkgconfig_2.0.3 labeling_0.4.2 tweenr_2.0.2
## [58] rlang_1.1.1 lifecycle_1.0.3 miniUI_0.1.1.1
## [61] colourpicker_1.2.0 extrafontdb_1.0 modelr_0.1.10
## [64] cellranger_1.1.0 distributional_0.3.2 polyclip_1.10-4
## [67] matrixStats_0.63.0 Matrix_1.5-1 loo_2.5.1
## [70] boot_1.3-28 zoo_1.8-11 reprex_2.0.2
## [73] base64enc_0.1-3 processx_3.8.0 googlesheets4_1.0.1
## [76] viridisLite_0.4.2 gap.datasets_0.0.5 shinystan_2.6.0
## [79] scales_1.2.1 magrittr_2.0.3 plyr_1.8.8
## [82] threejs_0.3.3 compiler_4.2.2 rstantools_2.2.0
## [85] RColorBrewer_1.1-3 lme4_1.1-31 cli_3.6.0
## [88] ps_1.7.2 Brobdingnag_1.2-9 tidyselect_1.2.0
## [91] stringi_1.7.8 highr_0.10 yaml_2.3.7
## [94] bridgesampling_1.1-2 grid_4.2.2 sass_0.4.5
## [97] tools_4.2.2 timechange_0.1.1 rstudioapi_0.15.0
## [100] foreach_1.5.2 gridExtra_2.3 posterior_1.3.1
## [103] farver_2.1.1 digest_0.6.31 FNN_1.1.3.2
## [106] shiny_1.7.4 qgam_1.3.4 broom_1.0.2
## [109] later_1.3.0 httr_1.4.4 colorspace_2.0-3
## [112] rvest_1.0.3 fs_1.5.2 shinythemes_1.2.0
## [115] xtable_1.8-4 jsonlite_1.8.4 nloptr_2.0.3
## [118] tidygraph_1.2.2 gap_1.4-2 R6_2.5.1
## [121] pillar_1.9.0 htmltools_0.5.4 mime_0.12
## [124] glue_1.6.2 fastmap_1.1.0 minqa_1.2.5
## [127] codetools_0.2-18 ggokabeito_0.1.0 pkgbuild_1.4.0
## [130] mvtnorm_1.1-3 utf8_1.2.2 lattice_0.20-45
## [133] bslib_0.4.2 curl_4.3.3 gtools_3.9.4
## [136] magick_2.7.4 shinyjs_2.1.0 Rttf2pt1_1.3.8
## [139] survival_3.5-5 rmarkdown_2.23 munsell_0.5.0
## [142] iterators_1.0.14 haven_2.5.1 reshape2_1.4.4
## [145] gtable_0.3.3References
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