I am trying to install the DEP package. I tried multiple machines without success. Using
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DEP")
Everything seems to download/install just fine, no error or warnings, but when I call the library I get the following:
> library(DEP)
Error: package or namespace load failed for ‘DEP’ in dyn.load(file, DLLpath = DLLpath, ...):
unable to load shared object '/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so':
dlopen(/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so, 6): Library not loaded: /usr/local/gfortran/lib/libgomp.1.dylib
Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so
Reason: image not found
In addition: Warning message:
In fun(libname, pkgname) :
mzR has been built against a different Rcpp version (1.0.4.6)
than is installed on your system (1.0.5). This might lead to errors
when loading mzR. If you encounter such issues, please send a report,
including the output of sessionInfo() to the Bioc support forum at
https://support.bioconductor.org/. For details see also
https://github.com/sneumann/mzR/wiki/mzR-Rcpp-compiler-linker-issue.
Here is the system I am on:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.5
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/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
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 mvtnorm_1.1-1
[3] lattice_0.20-41 circlize_0.4.10
[5] zoo_1.8-8 png_0.1-7
[7] assertthat_0.2.1 digest_0.6.25
[9] foreach_1.5.0 R6_2.4.1
[11] GenomeInfoDb_1.24.2 plyr_1.8.6
[13] mzID_1.26.0 stats4_4.0.2
[15] ggplot2_3.3.2 pillar_1.4.6
[17] GlobalOptions_0.1.2 zlibbioc_1.34.0
[19] rlang_0.4.7 S4Vectors_0.26.1
[21] GetoptLong_1.0.2 Matrix_1.2-18
[23] preprocessCore_1.50.0 mzR_2.22.0
[25] BiocParallel_1.22.0 ProtGenerics_1.20.0
[27] RCurl_1.98-1.2 munsell_0.5.0
[29] DelayedArray_0.14.1 compiler_4.0.2
[31] pkgconfig_2.0.3 BiocGenerics_0.34.0
[33] shape_1.4.4 pcaMethods_1.80.0
[35] tidyselect_1.1.0 SummarizedExperiment_1.18.2
[37] tibble_3.0.3 GenomeInfoDbData_1.2.3
[39] matrixStats_0.56.0 IRanges_2.22.2
[41] codetools_0.2-16 XML_3.99-0.4
[43] crayon_1.3.4 dplyr_1.0.0
[45] MASS_7.3-51.6 bitops_1.0-6
[47] grid_4.0.2 gtable_0.3.0
[49] lifecycle_0.2.0 affy_1.66.0
[51] magrittr_1.5 scales_1.1.1
[53] ncdf4_1.17 impute_1.62.0
[55] XVector_0.28.0 affyio_1.58.0
[57] doParallel_1.0.15 limma_3.44.3
[59] ellipsis_0.3.1 generics_0.0.2
[61] vctrs_0.3.2 sandwich_2.5-1
[63] rjson_0.2.20 RColorBrewer_1.1-2
[65] iterators_1.0.12 tools_4.0.2
[67] Biobase_2.48.0 MSnbase_2.14.2
[69] glue_1.4.1 purrr_0.3.4
[71] parallel_4.0.2 clue_0.3-57
[73] colorspace_1.4-1 cluster_2.1.0
[75] BiocManager_1.30.10 vsn_3.56.0
[77] GenomicRanges_1.40.0 MALDIquant_1.19.3
[79] ComplexHeatmap_2.4.2
Any advice or suggestions would be appreciated. Thanks
Just my local machine: MacBook Pro.