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enemduR

Reproducible analytical infrastructure for Ecuador ENEMDU microdata.

Built by Alejandro Yerovi | Big Y Productions

Survey Statistics | Policy Analytics | Reporting Automation | R

Reference | Articles | News | GitHub | v0.1.1 documentation-only patch release

enemduR is an R package for reproducible analytical work with Ecuador’s ENEMDU microdata. It provides infrastructure for reading, validation, derivation, survey-design-aware estimation, representativity assessment, benchmark comparison workflows, IPM/TPM local reproducibility evidence, and Quarto-ready analytical outputs.

The package is an analytical engine. It is not a dashboard, not a replacement for official statistical production systems, and not an official endorsement layer. Its role is to make technical ENEMDU workflows more reproducible, auditable, and easier to review.

enemduR 0.1.1 is a documentation-only patch release following the first stable portfolio release. It is a GitHub-based release for reproducible analytical workflows and portfolio demonstration; it is not a CRAN release, an official statistical production system, or official institutional validation.

Portfolio Signal

This public package demonstrates a professional analytical stack built around official microdata workflows: R package engineering, complex survey statistics, metadata contracts, validation discipline, and reporting automation.

Core Capabilities

Capability Package focus
Survey statistics Complex-design estimators, domain handling, and precision-aware analytical outputs.
Policy analytics Metadata contracts and documented workflows for reproducible ENEMDU analysis.
Reporting automation Stable long-format tibbles designed for downstream Quarto and reporting systems.
R package engineering Tests, CI, pkgdown, generated reference pages, governance files, and release metadata.

Current Scope

  • Reading support for .sav, .dta, and .csv ENEMDU files.
  • Complex survey design declaration using ENEMDU design variables.
  • Survey estimators for totals, means, proportions, and tabulations.
  • Representativity and precision-evaluation infrastructure.
  • Labor indicators based on the consolidated condact variable.
  • Metadata registries for variables, indicators, missing codes, domains, poverty lines, optional bonuses, and official dictionaries.
  • Income, quintile, poverty-flag, household-profile, optional-bonus, and social-bonus infrastructure under explicit contract rules.
  • IPM/TPM component, flag, KPI, and benchmark-comparison infrastructure for the ENEMDU 2025 annual profile, with outputs marked as not officially validated.

Methodological Guardrails

  • Poverty indicators are not computed without explicit and auditable poverty lines.
  • Sentinel values are not globally recoded unless a registry authorizes the rule.
  • Weighted population counts are kept distinct from effective sample size.
  • Presentation layers consume analytical outputs; they do not govern computation.
  • Benchmark comparisons are local reproducibility evidence; no institutional validation is claimed.
  • Any official validation would require explicit authorization or confirmation by the relevant official authority.

Official-Source Alignment

enemduR distinguishes public official sources, implementation alignment, official benchmark comparison, local reproducibility evidence, and official institutional validation. Labels such as official-source-documented, official-syntax-aligned, official-methodology-aligned, benchmark-compared, and benchmark-reproduced are used only where supporting documentation exists.

These labels do not claim official validation, certification, endorsement, or homologation. The taxonomy is documented in inst/extdata/official_source_alignment_taxonomy.md.

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