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dedup_citations_add_sources() adds new citations to a
previously deduplicated set and deduplicates across both, preserving
prior automatic and manual merge decisions and the original
record_ids provenance. For the same data it yields the same
unique set as deduplicating everything from scratch. Exposed in the
Shiny app — re-upload a deduplicated set, add new citation files, and
“Find duplicates” merges them in. Works in manual = TRUE
mode to surface new candidate pairs for review.export_dedup_candidates() /
reimport_dedup_candidates() persist and restore the
$manual_dedup candidate pairs, and
export_csv() gains a manual_dedup_complete
flag (written as a column, read back by reimport_csv()) so
downstream steps know whether review is still pending. Re-import, mark
result == "match", and merge with
dedup_citations_add_manual().reimport_csv() now reads all columns as character,
matching the canonical (all-character) types produced by
dedup_citations(). This is required so a reimported set can
re-enter dedup_citations_add_manual() (and incremental
re-deduplication) without column-type clashes.across() syntax
used throughout).read_citations() now warns when cite_label
values are outside the standard vocabulary (search,
screened, final), since phase-analysis
functions depend on those exact strings.calculate_phase_records(): n_distinct()
called as a terminal pipe no longer throws an error; fixed by replacing
with summarise() |> pull().calculate_initial_records() /
calculate_detailed_records(): separator regex in
separate_rows() changed from "," to
",\\s*" so sources with spaces after commas are split
correctly.generate_apa_reference(): NA DOI values no longer cause
an error in str_detect(); handled with
case_when(is.na(doi) ~ NA_character_, ...).summaryPrecTab: n_unique was
referenced without the rv$ prefix, causing a scope error;
fixed.manual_dedup_dt: columnDefs
targets now computed as 0-based integer indices rather than
column name strings, matching the DT API.count_unique() / compare_sources(): added
!is.na() guard alongside != "" so NA values in
cite_source, cite_label,
cite_string no longer cause filter or pivot errors.rv$pairs_to_check[,1:36] subsetting
removed; full data frame passed directly.generate_apa_citation() and
generate_apa_reference(): all rowwise() calls
replaced with purrr::map2_chr() and
purrr::pmap_chr(), avoiding per-row dplyr group
overhead.compare_sources() is now computed once in a
shared reactive and consumed by both the heatmap and upset plot, halving
the work on each render.sapply + str_split to vectorized
strsplit + vapply via a file-scope helper
.filter_multivalue_col.R/asys_dedup.R (GPL-3, with attribution to CAMARADES /
Kaitlyn Hair); the GitHub-only ASySD package is no longer a
dependency.Remotes: field removed from DESCRIPTION.cli, igraph,
parallelly, RecordLinkage,
utf8.ASySD, plogr.bslib..onLoad side effects removed;
shiny.maxRequestSize is no longer set at package load
time.%>% re-export removed; use the native
|> pipe.record_counts() →
calculate_initial_records()calculate_record_counts() →
calculate_detailed_records()calculate_phase_count() →
calculate_phase_records()record_counts_table() →
create_initial_record_table()record_summary_table() →
create_summary_record_table()precision_sensitivity_table() →
create_phase_record_table()All deprecated functions remain callable with a
.Deprecated() warning pointing to their replacements.
CITESOURCE_ENV environment
variable check evaluated once at app startup.Added a NEWS.md file to track changes to the
package.
Added dependency on latest version of the ASySD R package
Simplified dedup function arguments (now specified within call to ASySD)
Integrated new dedup function into R shiny app
Added new functions which allow creation of tables and plots based on deduplicated (reimported) data.
Updated shiny functionality, look and feel, and documentation
Added new vignettes
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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