実行環境
sessionInfo()
## 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 stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] ggtree_3.6.2 ape_5.6-2 see_0.7.4
## [4] report_0.5.5 parameters_0.20.0 performance_0.10.1
## [7] modelbased_0.8.5 insight_0.18.8 effectsize_0.8.2
## [10] datawizard_0.6.5 correlation_0.8.3 bayestestR_0.13.0
## [13] easystats_0.6.0 statebins_1.4.0 posterior_1.3.1
## [16] gtools_3.9.4 MASS_7.3-58.1 lemon_0.4.6
## [19] gghighlight_0.4.0 glue_1.6.2 modelr_0.1.10
## [22] fontregisterer_0.3 systemfonts_1.0.4 extrafont_0.18
## [25] gt_0.8.0 loo_2.5.1 ggthemes_4.2.4
## [28] bayesplot_1.10.0 dagitty_0.3-1 ggdag_0.2.7
## [31] patchwork_1.1.2 ggrepel_0.9.2 tidybayes_3.0.2
## [34] ggmcmc_1.5.1.1 brms_2.18.0 Rcpp_1.0.9
## [37] rethinking_2.13.2 forcats_0.5.2 stringr_1.5.0
## [40] dplyr_1.0.10 purrr_1.0.0 readr_2.1.3
## [43] tidyr_1.2.1 tibble_3.1.8 tidyverse_1.3.2
## [46] knitr_1.41 kableExtra_1.3.4 bookdown_0.31
## [49] rstan_2.26.13 StanHeaders_2.26.13 GGally_2.1.2
## [52] ggplot2_3.4.0 DT_0.27
##
## loaded via a namespace (and not attached):
## [1] estimability_1.4.1 coda_0.19-4 dygraphs_1.1.1.6
## [4] data.table_1.14.6 inline_0.3.19 generics_0.1.3
## [7] callr_3.7.3 tzdb_0.3.0 webshot_0.5.4
## [10] xml2_1.3.3 lubridate_1.9.0 httpuv_1.6.7
## [13] assertthat_0.2.1 isoband_0.2.7 viridis_0.6.2
## [16] gargle_1.2.1 xfun_0.36 hms_1.1.2
## [19] ggdist_3.2.0 jquerylib_0.1.4 evaluate_0.20
## [22] promises_1.2.0.1 fansi_1.0.3 dbplyr_2.2.1
## [25] readxl_1.4.1 igraph_1.3.5 DBI_1.1.3
## [28] htmlwidgets_1.6.1 reshape_0.8.9 tensorA_0.36.2
## [31] googledrive_2.0.0 stats4_4.2.2 ellipsis_0.3.2
## [34] crosstalk_1.2.0 backports_1.4.1 V8_4.2.2
## [37] markdown_1.4 RcppParallel_5.1.6 vctrs_0.5.1
## [40] cmdstanr_0.5.3 abind_1.4-5 cachem_1.0.6
## [43] RcppEigen_0.3.3.9.3 withr_2.5.0 ggforce_0.4.1
## [46] checkmate_2.1.0 emmeans_1.8.3 treeio_1.22.0
## [49] xts_0.12.2 prettyunits_1.1.1 svglite_2.1.1
## [52] lazyeval_0.2.2 crayon_1.5.2 pkgconfig_2.0.3
## [55] labeling_0.4.2 tweenr_2.0.2 nlme_3.1-160
## [58] rlang_1.0.6 lifecycle_1.0.3 miniUI_0.1.1.1
## [61] colourpicker_1.2.0 extrafontdb_1.0 cellranger_1.1.0
## [64] distributional_0.3.1 polyclip_1.10-4 matrixStats_0.63.0
## [67] flextable_0.8.3 Matrix_1.5-1 aplot_0.1.9
## [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_0.4.1 shape_1.4.6 shinystan_2.6.0
## [79] gridGraphics_0.5-1 scales_1.2.1 magrittr_2.0.3
## [82] plyr_1.8.8 hexbin_1.28.2 threejs_0.3.3
## [85] compiler_4.2.2 rstantools_2.2.0 RColorBrewer_1.1-3
## [88] santoku_0.9.0 cli_3.6.0 ps_1.7.2
## [91] Brobdingnag_1.2-9 tidyselect_1.2.0 stringi_1.7.8
## [94] highr_0.10 yaml_2.3.6 askpass_1.1
## [97] svUnit_1.0.6 bridgesampling_1.1-2 grid_4.2.2
## [100] sass_0.4.5 tools_4.2.2 timechange_0.1.1
## [103] rstudioapi_0.14 uuid_1.1-0 BH_1.81.0-1
## [106] gridExtra_2.3 farver_2.1.1 ggraph_2.1.0
## [109] digest_0.6.31 shiny_1.7.4 broom_1.0.2
## [112] later_1.3.0 httr_1.4.4 gdtools_0.2.4
## [115] colorspace_2.0-3 rvest_1.0.3 fs_1.5.2
## [118] yulab.utils_0.0.6 tidytree_0.4.2 graphlayouts_0.8.4
## [121] shinythemes_1.2.0 ggplotify_0.1.0 xtable_1.8-4
## [124] jsonlite_1.8.4 tidygraph_1.2.2 ggfun_0.0.9
## [127] R6_2.5.1 pillar_1.8.1 htmltools_0.5.4
## [130] mime_0.12 fastmap_1.1.0 codetools_0.2-18
## [133] pkgbuild_1.4.0 mvtnorm_1.1-3 utf8_1.2.2
## [136] lattice_0.20-45 bslib_0.4.2 arrayhelpers_1.1-0
## [139] curl_4.3.3 HDInterval_0.2.4 officer_0.5.1
## [142] zip_2.2.2 shinyjs_2.1.0 openssl_2.0.5
## [145] Rttf2pt1_1.3.8 rmarkdown_2.20 munsell_0.5.0
## [148] haven_2.5.1 reshape2_1.4.4 gtable_0.3.1
Angrist JD, Keueger AB (1991) Does compulsory school attendance affect schooling and earnings? The Quarterly Journal of Economics 106:979–1014
Bakkensen LA, Larson W (2014) Population matters when modeling hurricane fatalities. Proc Natl Acad Sci U S A 111:E5331–2
Cohen L, Malloy CJ (2014) Friends in high places. American Economic Journal: Economic Policy 6:63–91
Cushman F, Young L, Hauser M (2006) The role of conscious reasoning and intuition in moral judgment: Testing three principles of harm. Psychol Sci 17:1082–1089
Jung K, Shavitt S, Viswanathan M, Hilbe JM (2014) Female hurricanes are deadlier than male hurricanes. Proc Natl Acad Sci U S A 111:8782–8787
Kline MA, Boyd R (2010) Population size predicts technological complexity in oceania. Proc Biol Sci 277:2559–2564
Koster JM, Leckie G (2014) Food sharing networks in lowland nicaragua: An application of the social relations model to count data. Soc Networks 38:100–110
McElreath R (2020) Statistical rethinking : A bayesian course with examples in R and STAN, 2nd Edition. Chapman; Hall/CRC
Silk JB, Brosnan SF, Vonk J, et al (2005) Chimpanzees are indifferent to the welfare of unrelated group members. Nature 437:1357–1359
Städele V, Roberts ER, Barrett BJ, et al (2019) Male–female relationships in olive baboons (papio anubis): Parenting or mating effort? Journal of Human Evolution 127:81–92
Street SE, Navarrete AF, Reader SM, Laland KN (2017) Coevolution of cultural intelligence, extended life history, sociality, and brain size in primates. Proc Natl Acad Sci U S A 114:7908–7914
Van der Lee R, Ellemers N (2015) Gender contributes to personal research funding success in the netherlands. Proceedings of the National Academy of Sciences 112:12349–12353
Vonesh JR, Bolker BM (2005) Compensatory larval responses shift trade-offs associated with predator-induced hatching plasticity. Ecology 86:1580–1591
Watts DP (2015) Mating behavior of adolescent male chimpanzees (pan troglodytes) at ngogo, kibale national park, uganda. Primates 56:163–172