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My packages


Author: Brian M. Schilder


Updated: Mar-16-2026

Source: vignettes/my_packages.Rmd
my_packages.Rmd

This vignette shows how to use echodeps to visualise reverse dependencies of one of your own packages. The examples below use rworkflows as the seed package and then filter the resulting graph to packages published by specific GitHub organisations.

Create graph 

res <- dep_graph(pkg = "rworkflows",
                 method_seed = "github",
                 reverse = TRUE)

Subset graph

Once you have the full reverse-dependency graph you can subset it to only the packages you maintain. Here we keep nodes whose names contain known GitHub organisation prefixes.

mypkgs <- grep("neurogenomics/|bschilder/|RajLabMSSM/|NathanSkene/",
               names(igraph::V(res$graph)),
               value = TRUE)
g <- res$graph |>
    tidygraph::filter(name %in% mypkgs) |>
    dplyr::mutate(size = 60)

Plot network 

plt <- echodeps::dep_graph_plot(g = g,
                                pkg = "rworkflows",
                                use_basename = TRUE)

Session Info 

utils::sessionInfo()
## R Under development (unstable) (2026-03-12 r89607)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.4 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] echodeps_1.0.0   BiocStyle_2.39.0
## 
## loaded via a namespace (and not attached):
##  [1] gtable_0.3.6        xfun_0.56           bslib_0.10.0       
##  [4] ggplot2_4.0.2       htmlwidgets_1.6.4   visNetwork_2.1.4   
##  [7] gh_1.5.0            vctrs_0.7.1         tools_4.6.0        
## [10] bitops_1.0-9        generics_0.1.4      yulab.utils_0.2.4  
## [13] parallel_4.6.0      tibble_3.3.1        pkgconfig_2.0.3    
## [16] data.table_1.18.2.1 RColorBrewer_1.1-3  S7_0.2.1           
## [19] desc_1.4.3          pals_1.10           lifecycle_1.0.5    
## [22] compiler_4.6.0      farver_2.1.2        stringr_1.6.0      
## [25] dlstats_0.1.7       textshaping_1.0.5   mapproj_1.2.12     
## [28] htmltools_0.5.9     maps_3.4.3          sass_0.4.10        
## [31] RCurl_1.98-1.17     yaml_2.3.12         pkgdown_2.2.0      
## [34] pillar_1.11.1       jquerylib_0.1.4     tidyr_1.3.2        
## [37] cachem_1.1.0        tidyselect_1.2.1    digest_0.6.39      
## [40] stringi_1.8.7       dplyr_1.2.0         purrr_1.2.1        
## [43] bookdown_0.46       rprojroot_2.1.1     fastmap_1.2.0      
## [46] grid_4.6.0          here_1.0.2          colorspace_2.1-2   
## [49] cli_3.6.5           magrittr_2.0.4      dichromat_2.0-0.1  
## [52] tidygraph_1.3.1     scales_1.4.0        rappdirs_0.3.4     
## [55] rmarkdown_2.30      rvcheck_0.2.1       igraph_2.2.2       
## [58] otel_0.2.0          ragg_1.5.1          evaluate_1.0.5     
## [61] echogithub_1.0.0    knitr_1.51          rworkflows_1.0.8   
## [64] rlang_1.1.7         glue_1.8.0          BiocManager_1.30.27
## [67] renv_1.1.8          jsonlite_2.0.0      R6_2.6.1           
## [70] badger_0.2.5        systemfonts_1.3.2   fs_1.6.7