我正在尝试安装R包"mxnet"；。然而，CRAN上似乎没有此软件包。我在stackoverlow上发现了类似的帖子，在那里遇到了类似的问题：
如何安装"；mxnet"；R 4.0.2 包装
我试着用三种不同的方式安装这个软件包，但都失败了：
#First Way:
install.packages("https://s3.ca-central-1.amazonaws.com/jeremiedb/share/mxnet/CPU/3.6/mxnet.zip", repos = NULL)
Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’
(as ‘lib’ is unspecified)
trying URL 'https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip'
Content type 'application/zip' length 29498166 bytes (28.1 MB)
downloaded 28.1 MB
library(mxnet)
Error: package or namespace load failed for ‘mxnet’:
package ‘mxnet’ was installed before R 4.0.0: please re-install it
#second way
> install.packages("https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip", repos = NULL)
Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’
(as ‘lib’ is unspecified)
trying URL 'https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip'
Warning in install.packages :
cannot open URL 'https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip': HTTP status was '404 Not Found'
Error in download.file(p, destfile, method, mode = "wb", ...) :
cannot open URL 'https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip'
#third way:
install.packages("https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip", repos = NULL)
> install.packages("https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip", repos = NULL)
Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’
(as ‘lib’ is unspecified)
trying URL 'https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip'
Content type 'application/zip' length 29498166 bytes (28.1 MB)
downloaded 28.1 MB
library(mxnet)
Error: package or namespace load failed for ‘mxnet’:
package ‘mxnet’ was installed before R 4.0.0: please re-install it
有人知道这个包裹是否还有货吗？
感谢
注意-这是我的会话信息：
sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252
[4] LC_NUMERIC=C LC_TIME=English_Canada.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] RSNNS_0.4-12 Rcpp_1.0.5 quantmod_0.4.17 TTR_0.24.2 xts_0.12.1
[6] plotly_4.9.2.1 data.table_1.12.8 ranger_0.12.1 survival_3.2-7 xgboost_1.1.1.1
[11] dynlm_0.3-6 zoo_1.8-8 caret_6.0-86 ggplot2_3.3.2 lattice_0.20-41
[16] dplyr_1.0.0 timetk_2.6.0 PoEdata_0.1.0 devtools_2.3.2 usethis_1.6.3
[21] tseries_0.10-47
loaded via a namespace (and not attached):
[1] colorspace_1.4-1 ellipsis_0.3.1 class_7.3-17 rio_0.5.16
[5] rprojroot_1.3-2 fs_1.4.2 rstudioapi_0.11 listenv_0.8.0
[9] furrr_0.2.0 farver_2.0.3 remotes_2.2.0 dials_0.0.9
[13] prodlim_2019.11.13 fansi_0.4.1 lubridate_1.7.9 codetools_0.2-16
[17] splines_4.0.2 pkgload_1.1.0 jsonlite_1.7.1 workflows_0.2.1
[21] pROC_1.16.2 yardstick_0.0.7 tune_0.1.1 httr_1.4.2
[25] readr_1.3.1 compiler_4.0.2 backports_1.1.7 assertthat_0.2.1
[29] Matrix_1.2-18 lazyeval_0.2.2 cli_2.1.0 htmltools_0.5.0
[33] prettyunits_1.1.1 tools_4.0.2 gtable_0.3.0 glue_1.4.1
[37] reshape2_1.4.4 tinytex_0.26 carData_3.0-4 cellranger_1.1.0
[41] fracdiff_1.5-1 DiceDesign_1.8-1 vctrs_0.3.2 urca_1.3-0
[45] nlme_3.1-149 crosstalk_1.1.0.1 iterators_1.0.13 parsnip_0.1.3
[49] lmtest_0.9-38 timeDate_3043.102 gower_0.2.2 xfun_0.15
[53] stringr_1.4.0 globals_0.13.1 ps_1.3.3 openxlsx_4.2.2
[57] testthat_2.3.2 lifecycle_0.2.0 future_1.19.1 MASS_7.3-53
[61] scales_1.1.1 ipred_0.9-9 hms_0.5.3 parallel_4.0.2
[65] yaml_2.2.1 curl_4.3 memoise_1.1.0 rpart_4.1-15
[69] stringi_1.4.6 desc_1.2.0 foreach_1.5.1 lhs_1.1.1
[73] zip_2.1.1 pkgbuild_1.1.0 lava_1.6.8 rlang_0.4.7
[77] pkgconfig_2.0.3 rsample_0.0.8 purrr_0.3.4 htmlwidgets_1.5.2
[81] recipes_0.1.13 labeling_0.3 processx_3.4.4 tidyselect_1.1.0
[85] plyr_1.8.6 magrittr_1.5 R6_2.4.1 generics_0.0.2
[89] haven_2.3.1 foreign_0.8-80 pillar_1.4.6 withr_2.3.0
[93] abind_1.4-5 nnet_7.3-14 tibble_3.0.3 crayon_1.3.4
[97] car_3.0-10 utf8_1.1.4 readxl_1.3.1 grid_4.0.2
[101] callr_3.5.1 git2r_0.27.1 forcats_0.5.0 ModelMetrics_1.2.2.2
[105] forecast_8.13 digest_0.6.25 tidyr_1.1.0 stats4_4.0.2
[109] munsell_0.5.0 GPfit_1.0-8 viridisLite_0.3.0 sessioninfo_1.1.1
[113] quadprog_1.5-8
由于没有预构建的MXNet二进制文件可用于R版本您正在使用的，您将需要遵循从源代码构建说明书请参阅https://mxnet.apache.org/versions/1.7.0/get_started/build_from_source
您可以按照这些说明进行操作，但要使用1.8.0rc2版本档案而不是1.7.0，如果你喜欢的话。