Calculate moderate-or-severe and severe food insecurity prevalence

baltor_fies_prevalence

Calculate moderate-or-severe and severe food insecurity prevalence from a weighted Food Insecurity Experience Scale raw-score distribution with caller-supplied per-raw-score probabilities or raw-score thresholds, keeping incomplete responses out of the denominator.

Files, names only

LICENSE 1.0 KB
SKILL.md 4.9 KB
contracts/input.schema.json 3.9 KB
contracts/output.schema.json 6.2 KB
examples/example.expected.json 1.6 KB
examples/example.input.json 1.4 KB
references/provenance.json 5.5 KB
scripts/tool.py 9.8 KB
verification/test_tool.py 11.8 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: method, raw_scores, incomplete_responses, probabilities, thresholds, population
Test: python3 -B -m unittest discover -s verification -p 'test_*.py' -v
Files: SKILL.md, contracts/input.schema.json, contracts/output.schema.json, scripts/tool.py
Placed for: OpenCode

Limits and scope

Limits: This is a supporting calculation for SDG target 2.1 (indicator 2.1.2) on caller-supplied tabulations, not an official estimate. It does not fit a Rasch model, check item fit, equate to the global reference scale, or compute margins of error or design effects, and it contains no survey module text.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 46.1 KB
Identity: baltor_fies_prevalence
Version: 27269beaa3c17ee4c438e7493e5813e931408e82e806d213a8f1e3bf28be752a

The version is the SHA-256 of the item your harness downloads; every file in it names its own checksum.

Where it is shown

Calculators for public statisticsDeterministic skills

Related components

Something wrong with this item, its rights or its safety? Report it on the support page, or from your harness after a download.