rROMA Installation Problem (R v.4.0.4)

[savarycl]

Good morning,

I wanted to run rROMA to infer pathway activation scores based on gene expression data, but I found myself with the following error code:

install_github("Albluca/rRoma")
Downloading GitHub repo Albluca/rRoma@HEAD
Error in utils::download.file(url, path, method = method, quiet = quiet, :
download from 'https://api.github.com/repos/Albluca/rRoma/tarball/HEAD' failed

sessionInfo()
R version 4.0.4 (2021-02-15)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.7

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] fr_FR.UTF-8/fr_FR.UTF-8/fr_FR.UTF-8/C/fr_FR.UTF-8/fr_FR.UTF-8

attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets methods base

other attached packages:
[1] devtools_2.3.2 usethis_2.0.1 qusage_2.24.0
[4] limma_3.46.0 GSVA_1.38.2 reshape2_1.4.4
[7] progeny_1.12.0 RColorBrewer_1.1-2 pheatmap_1.0.12
[10] gridExtra_2.3 vsn_3.58.0 ggplot2_3.3.3
[13] DESeq2_1.30.1 SummarizedExperiment_1.20.0 Biobase_2.50.0
[16] MatrixGenerics_1.2.1 matrixStats_0.58.0 GenomicRanges_1.42.0
[19] GenomeInfoDb_1.26.4 IRanges_2.24.1 S4Vectors_0.28.1
[22] BiocGenerics_0.36.0

loaded via a namespace (and not attached):
[1] colorspace_2.0-0 ellipsis_0.3.1 rprojroot_2.0.2 estimability_1.3
[5] XVector_0.30.0 fs_1.5.0 rstudioapi_0.13 farver_2.1.0
[9] hexbin_1.28.2 remotes_2.3.0 affyio_1.60.0 ggrepel_0.9.1
[13] bit64_4.0.5 AnnotationDbi_1.52.0 fansi_0.4.2 mvtnorm_1.1-1
[17] apeglm_1.12.0 splines_4.0.4 cachem_1.0.4 geneplotter_1.68.0
[21] pkgload_1.2.0 annotate_1.68.0 ashr_2.2-47 graph_1.68.0
[25] BiocManager_1.30.12 compiler_4.0.4 httr_1.4.2 emmeans_1.5.5-1
[29] tictoc_1.0 assertthat_0.2.1 Matrix_1.3-2 fastmap_1.1.0
[33] cli_2.4.0 prettyunits_1.1.1 tools_4.0.4 coda_0.19-4
[37] gtable_0.3.0 glue_1.4.2 GenomeInfoDbData_1.2.4 affy_1.68.0
[41] dplyr_1.0.5 tinytex_0.31 Rcpp_1.0.6 bbmle_1.0.23.1
[45] vctrs_0.3.7 preprocessCore_1.52.1 nlme_3.1-152 xfun_0.22
[49] stringr_1.4.0 ps_1.6.0 testthat_3.0.2 lifecycle_1.0.0
[53] irlba_2.3.3 XML_3.99-0.6 zlibbioc_1.36.0 MASS_7.3-53.1
[57] scales_1.1.1 curl_4.3 memoise_2.0.0 emdbook_1.3.12
[61] bdsmatrix_1.3-4 stringi_1.5.3 RSQLite_2.2.5 SQUAREM_2021.1
[65] genefilter_1.72.1 desc_1.3.0 pkgbuild_1.2.0 BiocParallel_1.24.1
[69] truncnorm_1.0-8 rlang_0.4.10 pkgconfig_2.0.3 bitops_1.0-6
[73] lattice_0.20-41 invgamma_1.1 purrr_0.3.4 labeling_0.4.2
[77] bit_4.0.4 tidyselect_1.1.0 processx_3.5.1 GSEABase_1.52.1
[81] plyr_1.8.6 magrittr_2.0.1 R6_2.5.0 fftw_1.0-6
[85] generics_0.1.0 DelayedArray_0.16.3 DBI_1.1.1 pillar_1.5.1
[89] withr_2.4.1 survival_3.2-10 RCurl_1.98-1.3 mixsqp_0.3-43
[93] tibble_3.1.0 crayon_1.4.1 utf8_1.2.1 locfit_1.5-9.4
[97] grid_4.0.4 blob_1.2.1 callr_3.6.0 digest_0.6.27
[101] xtable_1.8-4 tidyr_1.1.3 numDeriv_2016.8-1.1 munsell_0.5.0
[105] sessioninfo_1.1.1

Thanks in advance for your answer.

C.S