Use @inheritParams for multiomics parameter documentation

[Copilot]

Parameter descriptions for sobject, gtf, frag_files, and verbose were duplicated across multiomics functions.

Changes

• Established inheritance chain: add_nucleosome_signal defines sobject (ATAC processing context); inherited by tss_enrichment, calc_frip, process_seurat_atac
• Cross-function inheritance: merge_gex_atac inherits verbose from process_seurat_atac
• Composite inheritance: add_atac_metadata inherits from multiple sources (annotate_atac for sobject/gtf, calc_frip for frag_files/verbose)

Example

Before:

#' @param sobject Seurat object containing ATAC data to be processed.
#' @param frag_files Named list of paths to fragment files...
#' @param verbose Logical indicating whether functions should produce detailed output...
calc_frip <- function(sobject, frag_files, verbose = FALSE) {...}

#' @param sobject Seurat object containing ATAC data to be processed.
#' @param verbose Logical indicating whether functions should produce detailed output...
process_seurat_atac <- function(sobject, verbose = FALSE) {...}

After:

#' @inheritParams add_nucleosome_signal
#' @param frag_files Named list of paths to fragment files...
#' @param verbose Logical indicating whether functions should produce detailed output...
calc_frip <- function(sobject, frag_files, verbose = FALSE) {...}

#' @inheritParams add_nucleosome_signal
#' @param verbose Logical indicating whether processing functions should produce detailed output...
process_seurat_atac <- function(sobject, verbose = FALSE) {...}

Reduces ~15 lines of duplicated documentation while maintaining identical generated .Rd files.

---

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

[MVesuviusC]

Where possible, you should use @inheritParams to avoid repetition of argument description text