新R的小鼠包装速度较慢R 10倍

Question

我最近更新了我的r（从4.0到4.2），现在MICE（）运行 在相同的数据上慢慢。这发生在其他人身上吗？

也许我的.renviron被重置了，类似r_max_vsize需要更改？它似乎没有帮助MICE（）。

谢谢 ！

> sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Monterey 12.3.1

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] mice_3.14.0     bigrquery_1.4.0 forcats_0.5.1   stringr_1.4.0   dplyr_1.0.9    
 [6] purrr_0.3.4     readr_2.1.2     tidyr_1.2.0     tibble_3.1.7    ggplot2_3.3.6  
[11] tidyverse_1.3.1 sqldf_0.4-11    RSQLite_2.2.14  gsubfn_0.7      proto_1.0.0    
[16] mgcv_1.8-40     nlme_3.1-157    civis_3.0.0    

loaded via a namespace (and not attached):
 [1] httr_1.4.3        bit64_4.0.5       jsonlite_1.8.0    splines_4.2.0     modelr_0.1.8     
 [6] assertthat_0.2.1  blob_1.2.3        cellranger_1.1.0  progress_1.2.2    globals_0.15.0   
[11] pillar_1.7.0      backports_1.4.1   lattice_0.20-45   glue_1.6.2        chron_2.3-56     
[16] digest_0.6.29     rvest_1.0.2       colorspace_2.0-3  Matrix_1.4-1      pkgconfig_2.0.3  
[21] broom_0.8.0       listenv_0.8.0     haven_2.5.0       scales_1.2.0      tzdb_0.3.0       
[26] generics_0.1.2    ellipsis_0.3.2    cachem_1.0.6      withr_2.5.0       cli_3.3.0        
[31] magrittr_2.0.3    crayon_1.5.1      readxl_1.4.0      memoise_2.0.1     fs_1.5.2         
[36] future_1.25.0     fansi_1.0.3       parallelly_1.31.1 xml2_1.3.3        prettyunits_1.1.1
[41] tools_4.2.0       hms_1.1.1         gargle_1.2.0      lifecycle_1.0.1   munsell_0.5.0    
[46] reprex_2.0.1      compiler_4.2.0    rlang_1.0.2       grid_4.2.0        rstudioapi_0.13  
[51] arrow_8.0.0       gtable_0.3.0      codetools_0.2-18  DBI_1.1.2         curl_4.3.2       
[56] brutils_0.1.0     R6_2.5.1          lubridate_1.8.0   fastmap_1.1.0     bit_4.0.4        
[61] utf8_1.2.2        stringi_1.7.6     parallel_4.2.0    Rcpp_1.0.8.3      vctrs_0.4.1      
[66] dbplyr_2.1.1      tidyselect_1.1.2 

可悲的是，对于我以前的r，我没有sessionInfo（）。