Chapter 6 Summary and Reproducibility
We have finished a nice book……..
Here is some information for for reproducibility:
sessionInfo()## R version 3.5.2 (2018-12-20)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 7 x64 (build 7601) Service Pack 1
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.1252
## [2] LC_CTYPE=English_United States.1252
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] OpenMx_2.12.2 sem_3.1-9 lavaan_0.6-3 ggraph_1.0.2
## [5] ggplot2_3.1.0 corrplot_0.84 tidyr_0.8.2 magrittr_1.5
## [9] dplyr_0.8.0.1 MVN_5.6 kableExtra_1.0.1 knitr_1.21
## [13] psych_1.8.12 semPlot_1.1 car_3.0-2 carData_3.0-2
##
## loaded via a namespace (and not attached):
## [1] readxl_1.3.0 backports_1.1.3 Hmisc_4.2-0
## [4] BDgraph_2.55 plyr_1.8.4 igraph_1.2.4
## [7] lazyeval_0.2.2 sp_1.3-1 splines_3.5.2
## [10] digest_0.6.18 htmltools_0.3.6 viridis_0.5.1
## [13] matrixcalc_1.0-3 checkmate_1.9.1 lisrelToR_0.1.4
## [16] cluster_2.0.7-1 openxlsx_4.1.0 readr_1.3.1
## [19] jpeg_0.1-8 colorspace_1.4-1 ggrepel_0.8.0
## [22] rvest_0.3.2 rrcov_1.4-7 haven_2.1.0
## [25] xfun_0.4 crayon_1.3.4 lme4_1.1-20
## [28] zoo_1.8-4 survival_2.43-3 glue_1.3.1
## [31] gtable_0.3.0 webshot_0.5.1 mi_1.0
## [34] kernlab_0.9-27 prabclus_2.2-7 DEoptimR_1.0-8
## [37] ggm_2.3 abind_1.4-5 VIM_4.8.0
## [40] scales_1.0.0 sgeostat_1.0-27 mvtnorm_1.0-8
## [43] GGally_1.4.0 sROC_0.1-2 Rcpp_1.0.1
## [46] viridisLite_0.3.0 xtable_1.8-3 laeken_0.5.0
## [49] htmlTable_1.13.1 units_0.6-2 foreign_0.8-71
## [52] mclust_5.4.2 Formula_1.2-3 stats4_3.5.2
## [55] truncnorm_1.0-8 vcd_1.4-4 htmlwidgets_1.3
## [58] httr_1.4.0 fpc_2.1-11.1 RColorBrewer_1.1-2
## [61] modeltools_0.2-22 acepack_1.4.1 farver_1.1.0
## [64] NADA_1.6-1 flexmix_2.3-15 pkgconfig_2.0.2
## [67] reshape_0.8.8 XML_3.98-1.17 nnet_7.3-12
## [70] kutils_1.60 tidyselect_0.2.5 rlang_0.3.1
## [73] reshape2_1.4.3 munsell_0.5.0 cellranger_1.1.0
## [76] tools_3.5.2 moments_0.14 ranger_0.11.1
## [79] pls_2.7-0 cvTools_0.3.2 fdrtool_1.2.15
## [82] evaluate_0.13 stringr_1.4.0 arm_1.10-1
## [85] yaml_2.2.0 zip_1.0.0 robustbase_0.93-3
## [88] purrr_0.3.2 glasso_1.10 pbapply_1.4-0
## [91] nlme_3.1-137 whisker_0.3-2 xml2_1.2.0
## [94] compiler_3.5.2 rstudioapi_0.9.0 curl_3.3
## [97] png_0.1-7 e1071_1.7-0.1 zCompositions_1.2.0
## [100] huge_1.2.7 tweenr_1.0.1 tibble_2.0.1
## [103] robCompositions_2.0.10 pbivnorm_0.6.0 pcaPP_1.9-73
## [106] stringi_1.3.1 highr_0.7 qgraph_1.6.1
## [109] rockchalk_1.8.140 forcats_0.4.0 trimcluster_0.1-2.1
## [112] lattice_0.20-38 Matrix_1.2-15 nloptr_1.2.1
## [115] pillar_1.3.1 lmtest_0.9-36 data.table_1.12.0
## [118] corpcor_1.6.9 R6_2.4.0 latticeExtra_0.6-28
## [121] bookdown_0.9 gridExtra_2.3 rio_0.5.16
## [124] boot_1.3-20 energy_1.7-5 MASS_7.3-51.1
## [127] gtools_3.8.1 assertthat_0.2.1 rjson_0.2.20
## [130] withr_2.1.2 nortest_1.0-4 mnormt_1.5-5
## [133] diptest_0.75-7 parallel_3.5.2 hms_0.4.2
## [136] grid_3.5.2 rpart_4.1-13 coda_0.19-2
## [139] class_7.3-15 minqa_1.2.4 rmarkdown_1.11
## [142] mvoutlier_2.0.9 d3Network_0.5.2.1 ggforce_0.1.3
## [145] numDeriv_2016.8-1 semTools_0.5-1 base64enc_0.1-3