rmoriebricklayer: Reproducible Data Capsules with Provenance and Fallback
Tools for building brick-proof, reproducible, self-contained
data capsules.
Resolves open-data sources through the Comprehensive Knowledge
Archive Network ('CKAN', <https://ckan.org/>) package_show and
package_search endpoints, records and verifies provenance with
Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive
'Wayback Machine' (<https://web.archive.org/>) snapshots, validates
downloaded data against a pinned schema, and falls back to
schema-driven synthetic data when the real source is unreachable.
Run records are captured in a manifest plus a plain-language summary
so any result can be traced back to its inputs. Distributional drift
between a pinned capsule and a fresh fetch is tested with
Kolmogorov-Smirnov, chi-square, population stability index,
Jensen-Shannon divergence and 'Benford' first-digit screens, because a
re-released extract can be statistically identical yet differ
byte-for-byte, and a column can keep its name and type while having
been silently rescaled. Manifests can be authenticated rather than
only checksum-verified, with keyed digests ('HMAC-SHA-256', RFC 2104) or
post-quantum hash-based signatures ('Winternitz' one-time signatures under a 'Merkle'
tree, RFC 8391), and pinned chunk-wise through a 'Merkle'
tree so a mismatch identifies which part of a capsule moved. Also
ships a compiled C++ core (summary, robust and rank statistics,
'SHA-256', 'SHA-512' and 'CRC-32') that sibling packages in the
'rmorie' ecosystem reach through 'LinkingTo' for a single, shared
numeric and provenance-hashing backend.
For the published administrative tables these capsules usually hold,
it computes period-over-period change matched on the period rather
than the row, with the exact conditional-binomial interval for a
ratio of counts and with a percentage-point reading kept distinct
from a percent change, rendered to Hypertext Markup Language
('HTML'), Portable Document Format ('PDF'), delimited text,
JavaScript Object Notation ('JSON') or Markdown. Interval categories
such as "2 to 5" or "50+" are parsed to bounds and the dependence of
any derived figure on the open top band is measured rather than
assumed. Concentration is summarised by the 'Gini' coefficient, the
Lorenz curve and tail-index estimation by exact discrete maximum
likelihood; trend in a series of a few periods by the Mann-Kendall
test with 'Theil-Sen' slopes, a permutation step-change scan and
Poisson rate ratios; and region-coded counts by indirect
standardisation, exact standardised incidence ratios, the empirical
Bayes shrinkage of Clayton and 'Kaldor' (1987)
<doi:10.2307/2532003>, funnel-plot limits and Moran's I.
| Version: |
0.5.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
methods, stats, utils |
| Suggests: |
digest, jsonlite, knitr, openssl, pkgdown, rmarkdown, sf, stringi, testthat (≥ 3.0.0) |
| Published: |
2026-09-16 |
| DOI: |
10.32614/CRAN.package.rmoriebricklayer |
| Author: |
Vansh Singh Ruhela
 [aut, cre] |
| Maintainer: |
Vansh Singh Ruhela <vsruhela at proton.me> |
| BugReports: |
https://github.com/rootcoder007/rmorie-bricklayer/issues |
| License: |
AGPL-3 |
| URL: |
https://github.com/rootcoder007/rmorie-bricklayer,
https://rootcoder007.github.io/rmorie-bricklayer/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
libcurl (deb: libcurl4-openssl-dev, rpm:
libcurl-devel). |
| Language: |
en-US |
| Citation: |
rmoriebricklayer citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
rmoriebricklayer results [issues need fixing before 2026-10-09] |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=rmoriebricklayer
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