Clinical Trial Data-Cut Change Detection and Impact Assessment

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Documentation for package ‘trialdiff’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_edges	Add edges to a lineage graph
add_outputs	Add an analysis/output registry to a lineage graph
adlb_cut1	Synthetic ADLB data cuts
adlb_cut2	Synthetic ADLB data cuts
adsl_adlb_lineage	Example ADSL/ADLB lineage
adsl_cut1	Synthetic ADSL data cuts
adsl_cut2	Synthetic ADSL data cuts
assess_impact	Assess downstream impact of classified changes
as_igraph	Convert lineage to an igraph object
as_json	Machine-readable report data
as_register	Tidy register of every detected change
classify_changes	Classify detected changes
compare_cut	Compare two data cuts of a clinical dataset
define_lineage	Define a data lineage graph
impact_policy	Impact-assessment policy
lineage_edge	Define a lineage edge
lineage_from_metadata	Derive lineage from study metadata
lineage_provenance	Provenance of metadata-driven lineage edges
lineage_review	References needing review after metadata-driven lineage
output_registry	Build an analysis/output registry
remove_edges	Remove edges from a lineage graph
report_diff	Produce a change-review report
td_categories	Category label lookup
td_default_rules	Default rule set
td_output	Declare an analysis or output and its inputs
td_rule	Change classification rules
trace_dependencies	Trace downstream dependencies