Check Shiny App Dependencies

Classifies and inspects the optional packages used by the Shiny dashboard. The dashboard is launched by run_sae_app and the dependencies it touches live in Suggests, not Imports, so users who only use the modelling functions never have to install them.

Usage

check_shiny_deps(verbose = TRUE)

Arguments

verbose

Logical. When TRUE (default), prints a formatted summary of which dependencies are installed and which are missing.

Value

Invisibly, a named list with components:

critical_missing

Character vector of critical packages not installed. When non-empty, the app cannot start.

optional_missing

Character vector of optional packages not installed. When non-empty, the app starts but some panels degrade.

install_cmd

A ready-to-paste install.packages() call covering all missing packages, or NULL when none are missing.

See also

run_sae_app

Examples

check_shiny_deps()
#> 
#> hbsaems Shiny App Dependency Check
#> ====================================
#> 
#> CRITICAL (required to launch the app):
#>   [OK ] shinydashboard  -- Dashboard layout (every UI tab)
#>   [OK ] DT              -- Data tables (preview, predictions, benchmarking)
#> 
#> OPTIONAL (used by individual panels):
#>   [OK ] shinyWidgets    -- Picker inputs in Data Exploration and Diagnostics tabs (falls back to selectInput)
#>   [OK ] readxl          -- Reading .xls / .xlsx uploads (falls back to .csv only)
#>   [OK ] energy          -- Distance correlation in scatter plot (falls back to Pearson / Spearman)
#>   [OK ] minerva         -- MIC correlation in scatter plot (falls back to Pearson / Spearman)
#>   [OK ] sf              -- Build spatial weight matrix from shapefile (falls back to manual matrix upload)
#>   [OK ] spdep           -- Neighbour computation for spatial weights (paired with sf)
#>   [OK ] bridgesampling  -- Bayes factor in model_compare (LOO and WAIC remain available)
#> 
#>    All dependencies installed.  Ready to launch.
#>