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A side-by-side editorial comparison of projoint and retroharmonize — release velocity, themes, recent moves, and the top alternatives to consider.
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.
Survey harmonization tooling that spent its last release earning its way back onto CRAN.
retroharmonize handles retrospective harmonization of survey microdata — reconciling value codes, value labels, variable names, and missing-value ranges across waves so separate surveys can be joined or panelled reproducibly. The most recent release was not about any of that: the package had been archived from CRAN when a dependency was archived, and the work went into refactoring the labelled_spss_survey vctrs integration, separating core, print, arithmetic, and vctrs methods, and passing checks across five platforms plus R-devel.
projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.
The maintainer is hardening the path from raw Qualtrics export to estimate, which is where conjoint analysis quietly goes wrong. Three separate releases fix that path: dropped respondent-level weights in organize_data(), repeated-task reshaping in reshape_projoint(), and choice-to-profile mapping in 1.1.3. Each fix now arrives with regression tests and stricter validation rather than just a patch, and 1.1.3 adds an explicit .choice_map so the mapping is auditable instead of inferred.
Expect the validation-and-regression-test pattern to keep extending across the import path, with releases continuing to arrive in bursts around CRAN submission rather than on a cadence.
retroharmonize handles retrospective harmonization of survey microdata — reconciling value codes, value labels, variable names, and missing-value ranges across waves so separate surveys can be joined or panelled reproducibly. The most recent release was not about any of that: the package had been archived from CRAN when a dependency was archived, and the work went into refactoring the labelled_spss_survey vctrs integration, separating core, print, arithmetic, and vctrs methods, and passing checks across five platforms plus R-devel.
The design bet has been constant since the first release — comprehensive S3 classes that carry labels and missing-value semantics through every transformation, so the harmonization is documented rather than reconstructed. What has changed is where effort goes. Early releases added harmonization functions and a worked Arab Barometer case study; recent ones are code quality and CRAN survival. Note that the version numbering in this feed is not monotonic: 0.1.13 was released roughly nine months before 0.1.7, so version order here does not indicate release order.
Having just restored CRAN availability through a refactor rather than a feature, the near-term work is most likely consolidation of the vctrs integration the notes describe rather than new harmonization functions.
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 projoint or retroharmonize.
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
A forest plot package that keeps handing users control of one more graphical detail.
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all projoint alternatives → · See all retroharmonize alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. projoint is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. projoint is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top projoint alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "projoint alternatives" section above for the current picks, or visit /alternatives/projoint for the full list with editorial commentary on each.
Top retroharmonize alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "retroharmonize alternatives" section above for the current picks, or visit /alternatives/retroharmonize for the full list with editorial commentary on each.