Entering edit mode
I installed DESeq2 using this code:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("DESeq2")
Then when I run this: library(DESeq2)
I get this error: Error: package or namespace load failed for ‘DESeq2’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]): there is no package called ‘locfit’
I tried to download the "locfit" package but I can't find it anywhere.
What do you think is the problem?
or install using BiocManager that will also install CRAN packages
BiocManager::install('locfit')I couldn't intall locfit but somehow, i did so many different things and it worked. :)
I try it and get
BiocManager::install("locift") 'getOption("repos")' replaces Bioconductor standard repositories, see '?repositories' for details
replacement repositories: CRAN: https://mirrors.sjtug.sjtu.edu.cn/cran/
Bioconductor version 3.12 (BiocManager 1.30.17), R 4.0.3 (2020-10-10)
Installing package(s) 'locift'
Old packages: 'cli', 'dplyr', 'igraph', 'MASS', 'ps', 'RSQLite', 'testthat', 'tibble'
Update all/some/none? [a/s/n]: n
Warning message:
package ‘locift’ is not available for Bioconductor version '3.12'
A version of this package for your version of R might be available elsewhere,see the ideas at https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages
May be the version has problem How can I do ?
Im trying to use this code: install.packages("locfit")
but this warning appeared: package ‘locfit’ is not available for this version of R ‘locfit’ version 1.5-9.5 is in the repositories but depends on R (>= 4.1.0) im using ubuntu, R ver 4.0.4, bioconductor ver 1.12
The package has place the R version constraint. Your best bet would be to download the package source code and change the R version and install manually if you wanted the most recent version of locfit to install on your computer. The other option is to download and older version of locfit from the package archive and install manually.
Just to add on -- do you require an old version of Bioconductor for your current project?
If not, I recommend using the latest version of R and Bioconductor for bug fixes and improvements.