A Performance-Focused Package for Clinical Trial Tables
Generate Core Safety Tables for Clinical Study Reports
Create AET02-style AE summary table
Convert a TableTree to a dtlg table
Calculate counts of a categorical variable
Calculate descriptive summary statistics for a numeric variable
Calculate summary statistics for a variable
Convert a contingency table to a long-format observation-level data fr...
Get or set data.table copy semantics
dtlg: A Performance-Focused Package for Clinical Trial Tables
Summarise adverse events by arm and other grouping variables
Count events
Format count(s) and percentage(s) (n (pct%))
Add indentation to strings
Retrieve the label of an object
Return a data.table by reference or by value
Merge a list of list-wrapped data.tables into one data.table
Summarise multiple AESI-like events per treatment arm
Generate Non-Breaking Spaces for HTML Output
Print a dtlg table
Rounded percentage
Rounds numbers while preserving the total sum
Create a summary table using multiple rows for grouping on two target ...
Create a summary table using multiple rows for grouping on one target ...
Summary Table
Generate Core Safety Tables (CSR Section 14.3.1) using tern/`rtables...
Generate AET02-style AE summary using tern and rtables
Create a clinical reporting table with tern/rtables
Count total events
Add a label attribute to an object
Create high-performance clinical reporting tables (TLGs) from ADaM-like inputs. The package provides a consistent, programmatic API to generate common tables such as demographics, adverse event incidence, and laboratory summaries, using 'data.table' for fast aggregation over large populations. Functions support flexible target-variable selection, stratification by treatment, and customizable summary statistics, and return tidy, machine-readable results ready to render with downstream table/formatting packages in analysis pipelines.