无法安装tidyverse包？processx版本过低致依赖安装失败求助

尝试运行install.packages("tidyverse")安装tidyverse包，选择不从源码安装，但出现以下错误：

Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : 
  namespace 'processx' 3.5.3 is being loaded, but >= 3.6.1 is required
Calls: <Anonymous> ... namespaceImportFrom -> asNamespace -> loadNamespace
Execution halted
ERROR: lazy loading failed for package 'callr'
* removing 'C:/Program Files/R/R-4.0.3/library/callr'
Warning in install.packages :
  installation of package ‘callr’ had non-zero exit status
ERROR: dependency 'callr' is not available for package 'reprex'
* removing 'C:/Program Files/R/R-4.0.3/library/reprex'
Warning in install.packages :
  installation of package ‘reprex’ had non-zero exit status
ERROR: dependency 'reprex' is not available for package 'tidyverse'
* removing 'C:/Program Files/R/R-4.0.3/library/tidyverse'
Warning in install.packages :
  installation of package ‘tidyverse’ had non-zero exit status

会话信息：

> sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United Kingdom.1252  LC_CTYPE=English_United Kingdom.1252   
[3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.1252    

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

loaded via a namespace (and not attached):
[1] compiler_4.0.3 tools_4.0.3

已尝试重装Rtools、从GitHub安装，但均无效。因工作机器申请更新Rtools流程繁琐，需解决错误并成功安装tidyverse。

1. 手动更新processx到兼容版本 #

针对R 4.0.3版本，直接安装适配的processx预编译二进制包：

• 运行以下命令安装指定版本：

install.packages("processx", version = "3.6.1", type = "binary")

如果直接指定版本失败，可下载对应二进制包离线安装：

1. 找到processx 3.6.1的Windows二进制包（.zip格式）
2. 下载后执行本地安装：

install.packages("本地路径/processx_3.6.1.zip", repos = NULL, type = "binary")

更新完成后，再重新运行install.packages("tidyverse", type = "binary")。

2. 跳过reprex安装tidyverse核心包 #

如果仅需要tidyverse核心功能（如dplyr、ggplot2等），可直接安装这些独立组件：

install.packages(c("dplyr", "ggplot2", "tidyr", "readr", "purrr", "tibble", "stringr", "forcats"))

之后可手动加载这些包，或自定义函数替代library(tidyverse)的批量加载。

3. 离线批量安装依赖包 #

若网络受限，可在联网机器上下载所有依赖的预编译二进制包，再复制到工作机器安装：

• 联网机器上运行pkgDep("tidyverse", type = "binary")获取完整依赖列表
• 下载对应版本的.zip包后，批量安装：

install.packages(list.files("包存放路径", pattern = "\\.zip$"), repos = NULL, type = "binary")

内容的提问来源于stack exchange，提问作者Satya Pamidi