Bounded RAS / Biproportional Matrix Balancing with Cell-Level
Constraints
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Documentation for package ‘RASbound’ version 0.0.1
Help Pages
| bras_calibrate_linear | Bounded RAS via 'survey::calibrate(calfun = "linear")' (wrapper) |
| bras_calibrate_logit | Bounded RAS via 'survey::calibrate(calfun = "logit")' (wrapper) |
| bras_calibrate_raking | Bounded RAS via 'survey::calibrate(calfun = "raking")' (wrapper) |
| bras_cap_iter | Bounded RAS: iterative capping with renormalization |
| bras_fit | The 'bras_fit' result object |
| bras_fit-class | The 'bras_fit' result object |
| bras_freeze_hybrid | Bounded RAS: hybrid hard-freeze variant (simultaneous with sequential fallback) |
| bras_freeze_seq | Bounded RAS: sequential hard-freeze variant (most-extreme cell first) |
| bras_freeze_sim | Bounded RAS: simultaneous hard-freeze variant |
| bras_naive | Bounded RAS: naive recompute-every-pass variant (baseline, not recommended) |
| bras_soft | Bounded RAS: soft proportional redistribution variant |
| plot.bras_fit | Plot which cells were fixed at a bound |
| print.bras_fit | Print a fitted bounded-RAS object |
| ras | Classic RAS (no bounds) |
| summary.bras_fit | Summarize a fitted bounded-RAS object |