mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of bulkreadr and PEIMAN2 — release velocity, themes, recent moves, and the top alternatives to consider.
A bulk file reader became a labelled-survey-data toolkit, then went quiet
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
PEIMAN2 does enrichment analysis over post-translational modifications, testing whether a protein list is enriched for particular PTMs against UniProt-derived annotations, with translation functions bridging to mass spectrometry workflows. Its answers are only as current as its bundled database, and until June that database could only be refreshed by releasing a new package version. Version 1.1.0 changes that.
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
Growth came in a burst across 2023, slowed to one release a year, and has now turned inward. The 2023 cadence added a format or a labelled-data function every few weeks; 2025 added a single Excel-to-CSV exporter; 2026 removed a dependency. The GitHub notes are cumulative — each release restates every prior version's changelog — which makes the feed look busier than the work is.
With inspectdf gone, the remaining Suggests-level dependencies are the obvious next targets for the same treatment. Nothing in these entries points to a new file format or a return to the 2023 pace.
PEIMAN2 does enrichment analysis over post-translational modifications, testing whether a protein list is enriched for particular PTMs against UniProt-derived annotations, with translation functions bridging to mass spectrometry workflows. Its answers are only as current as its bundled database, and until June that database could only be refreshed by releasing a new package version. Version 1.1.0 changes that.
The package has been moving from a fixed snapshot toward versioned, user-selectable data. Earlier releases updated the bundled database in place — 1.0.0 shipped the March 2025 version and said little else — which meant the annotation vintage was whatever the package version implied. Now update_peiman_database() downloads and caches external database files and UniProt PTM lists, enrichment workflows take a database_version argument, and the mass-spec translators take a ptmlist_version, so an analysis can pin a dated database rather than a package release. The CRAN-safe default is preserved deliberately: loading, examples and checks still use the bundled internal data and need no network.
Version pinning is now expressible but the release notes do not describe how a chosen version is recorded in output, so surfacing the active database version in results is the natural companion. The database and the UniProt PTM list are versioned separately, which leaves room for a combined manifest.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either bulkreadr or PEIMAN2.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all bulkreadr alternatives → · See all PEIMAN2 alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. bulkreadr and PEIMAN2 are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bulkreadr and PEIMAN2 are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top bulkreadr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bulkreadr alternatives" section above for the current picks, or visit /alternatives/bulkreadr for the full list with editorial commentary on each.
Top PEIMAN2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PEIMAN2 alternatives" section above for the current picks, or visit /alternatives/peiman2 for the full list with editorial commentary on each.