Unable to install v1.57

[giulianacalia]

Hello,

I am running into issues with SCnorm v1.18 installed from Bioconductor where the console stalls for hours when running the countDepthEst or SCnorm. I have tried on resolving by using devices with more cores, DITHER=true, and using the dev version.

I only have 800 cells.

I now attempted to install the newest version but receive the following error:

`install.packages("~/Downloads/SCnorm-1.5.7.tar.gz", repos = NULL, type = "source")
Warning in untar2(tarfile, files, list, exdir, restore_times) :
skipping pax global extended headers

• installing source package ‘SCnorm’ ...
  ** using staged installation
  ** R
  ** data
  *** moving datasets to lazyload DB
  ** inst
  ** byte-compile and prepare package for lazy loading
  Error: object ‘isSpike’ is not exported by 'namespace:SingleCellExperiment'
  Execution halted
  ERROR: lazy loading failed for package ‘SCnorm’
• removing ‘/Library/Frameworks/R.framework/Versions/4.2/Resources/library/SCnorm’
• restoring previous ‘/Library/Frameworks/R.framework/Versions/4.2/Resources/library/SCnorm’
  Warning in install.packages :
  installation of package ‘/Users/weinbergerlab/Downloads/SCnorm-1.5.7.tar.gz’ had non-zero exit status`

I would appreciate any help on this issue as I was hoping to use SCnorm to normalize my Single cell data! Thanks so much and here is my sessionInfo:

`R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Monterey 12.4

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/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

other attached packages:
[1] devtools_2.4.4 usethis_2.1.6 Seurat_4.1.1 BiocManager_1.30.18 sp_1.5-0
[6] SeuratObject_4.1.0

loaded via a namespace (and not attached):
[1] plyr_1.8.7 igraph_1.3.4 lazyeval_0.2.2 splines_4.2.1
[5] listenv_0.8.0 scattermore_0.8 GenomeInfoDb_1.32.3 ggplot2_3.3.6
[9] digest_0.6.29 htmltools_0.5.3 fansi_1.0.3 magrittr_2.0.3
[13] memoise_2.0.1 tensor_1.5 cluster_2.1.3 ROCR_1.0-11
[17] remotes_2.4.2 globals_0.16.0 matrixStats_0.62.0 spatstat.sparse_2.1-1
[21] prettyunits_1.1.1 colorspace_2.0-3 ggrepel_0.9.1 dplyr_1.0.9
[25] callr_3.7.2 crayon_1.5.1 RCurl_1.98-1.8 jsonlite_1.8.0
[29] progressr_0.10.1 spatstat.data_2.2-0 survival_3.4-0 zoo_1.8-10
[33] glue_1.6.2 polyclip_1.10-0 gtable_0.3.0 zlibbioc_1.42.0
[37] XVector_0.36.0 leiden_0.4.2 DelayedArray_0.22.0 pkgbuild_1.3.1
[41] future.apply_1.9.0 SingleCellExperiment_1.18.0 BiocGenerics_0.42.0 abind_1.4-5
[45] scales_1.2.1 spatstat.random_2.2-0 miniUI_0.1.1.1 Rcpp_1.0.9
[49] viridisLite_0.4.1 xtable_1.8-4 reticulate_1.25 spatstat.core_2.4-4
[53] stats4_4.2.1 profvis_0.3.7 htmlwidgets_1.5.4 httr_1.4.4
[57] RColorBrewer_1.1-3 ellipsis_0.3.2 ica_1.0-3 urlchecker_1.0.1
[61] pkgconfig_2.0.3 uwot_0.1.14 deldir_1.0-6 utf8_1.2.2
[65] tidyselect_1.1.2 rlang_1.0.4 reshape2_1.4.4 later_1.3.0
[69] munsell_0.5.0 tools_4.2.1 cachem_1.0.6 cli_3.3.0
[73] generics_0.1.3 ggridges_0.5.3 stringr_1.4.1 fastmap_1.1.0
[77] goftest_1.2-3 processx_3.7.0 fs_1.5.2 fitdistrplus_1.1-8
[81] purrr_0.3.4 RANN_2.6.1 pbapply_1.5-0 future_1.27.0
[85] nlme_3.1-159 mime_0.12 compiler_4.2.1 rstudioapi_0.13
[89] plotly_4.10.0 png_0.1-7 spatstat.utils_2.3-1 tibble_3.1.8
[93] stringi_1.7.8 ps_1.7.1 rgeos_0.5-9 lattice_0.20-45
[97] Matrix_1.4-1 vctrs_0.4.1 pillar_1.8.1 lifecycle_1.0.1
[101] spatstat.geom_2.4-0 lmtest_0.9-40 RcppAnnoy_0.0.19 data.table_1.14.2
[105] cowplot_1.1.1 bitops_1.0-7 irlba_2.3.5 httpuv_1.6.5
[109] patchwork_1.1.2 GenomicRanges_1.48.0 R6_2.5.1 promises_1.2.0.1
[113] KernSmooth_2.23-20 gridExtra_2.3 IRanges_2.30.1 parallelly_1.32.1
[117] sessioninfo_1.2.2 codetools_0.2-18 MASS_7.3-58.1 pkgload_1.3.0
[121] SummarizedExperiment_1.26.1 sctransform_0.3.4 S4Vectors_0.34.0 GenomeInfoDbData_1.2.8
[125] mgcv_1.8-40 parallel_4.2.1 grid_4.2.1 rpart_4.1.16
[129] tidyr_1.2.0 MatrixGenerics_1.8.1 Rtsne_0.16 Biobase_2.56.0
[133] shiny_1.7.2 `