Year: 2026
Type: dataset
Abstract: Implements the RAS method for adjusting a matrix to match target row and column totals.In RAS, a matrix A is multiplied on the left by a diagonal matrix R and on the right by a diagonal matrix S, which gives the method its name.It is also known as biproportional matrix balancing, iterative proportional fitting (IPF) or raking.The package extends it with lower and upper bounds on individual cells.Provides several algorithmic variants for handling bound violations: hard cell-freezing with simultaneous, sequential, or hybrid fixation; two dependency-free clamp-and-compensate heuristics (proportional redistribution and iterative renormalization); and a naive unconstrained-recompute baseline; together with thin wrapper functions exposing equivalent bounded-calibration methods from the 'survey' package under a common interface.Intended for updating or regionalizing input-output tables, social accounting matrices (SAMs), and other applications where classic RAS/IPF is used but cell-level plausibility ranges must be respected.
Author: Jose M. Pavía
Language: English
Topic: Data Analysis with R
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7224093280