igraph installation from binaries in R - unable to load shared object

Installation
1

Installing igraph from binaries (1.3.0) gives me the following error:

> install.packages("igraph")
Installing package into ‘C:/Users/b420054/Documents/R/win-library/4.0’
(as ‘lib’ is unspecified)

  There is a binary version available but the source version is later:
       binary source needs_compilation
igraph  1.3.0  1.4.1              TRUE

trying URL 'https://cran.mirror.ac.za/bin/windows/contrib/4.0/igraph_1.3.0.zip'
Content type 'application/zip' length 9092295 bytes (8.7 MB)
downloaded 8.7 MB

package ‘igraph’ successfully unpacked and MD5 sums checked

The downloaded binary packages are in
	C:\Users\b420054\AppData\Local\Temp\RtmpWCVcB1\downloaded_packages
> library(igraph)
Error: package or namespace load failed for ‘igraph’ in inDL(x, as.logical(local), as.logical(now), ...):
 unable to load shared object 'C:/Users/b420054/Documents/R/win-library/4.0/igraph/libs/x64/igraph.dll':
  LoadLibrary failure:  The specified procedure could not be found.
In addition: Warning message:
package ‘igraph’ was built under R version 4.0.5

I am on Windows 10, and R.version gives:

> R.version
               _                           
platform       x86_64-w64-mingw32          
arch           x86_64                      
os             mingw32                     
system         x86_64, mingw32             
status                                     
major          4                           
minor          0.2                         
year           2020                        
month          06                          
day            22                          
svn rev        78730                       
language       R                           
version.string R version 4.0.2 (2020-06-22)
nickname       Taking Off Again

I have also tried to install using source, but getting header issues - will open another Topic on that.

2

CRAN only distributes binary versions of packages for the current and previous R releases. Currently that is 4.2 and 4.1, respectively. You have an older R release, version 4.0.

I suggest you upgrade your R, so can install packages conveniently, without having to compile them yourself. Compiling packages on Windows is a bit involved, and I would not recommend it unless you are already comfortable with the process.