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Comparison · Analytics
collapse vs OHPL
A side-by-side editorial comparison of collapse and OHPL — release velocity, themes, recent moves, and the top alternatives to consider.
collapse vs OHPL: at a glance
What is collapse?
collapse got a JSS paper and a 7x fmean speedup in the same release.
collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().
What is OHPL?
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
collapse vs OHPL: editorial side-by-side
collapse
0.0ANALYTICS
collapse got a JSS paper and a 7x fmean speedup in the same release.
◆ Current state
collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().
◆ Where it's heading
The package is consolidating institutionally as much as technically. The repository moved to the fastverse organization with multiple people granted access, the Journal of Statistical Software paper landed as the primary citation, and documentation now includes an AI-generated interactive layer. Technically the focus is the hashing and grouping core — the decision to treat -0 and 0 as equal across funique(), group(), fmatch(), fmode() and their derivatives was made in sync with an equivalent change in Rcpp, and accepted a measured 3% cost to get it. The last release with breaking changes sits outside this six-entry window.
◆ Prediction
Expect further targeted performance work on the grouped statistical functions and continued small correctness fixes; the governance move to fastverse suggests contribution volume rather than direction is what the maintainer is managing.
OHPL
0.0ANALYTICS
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
◆ Current state
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
◆ Where it's heading
This is a published-method package in the archival phase: the algorithm is fixed, the paper is cited, and the maintainer keeps it installable. The releases read as a timeline of R packaging conventions rather than of the method — tidyverse code style in 2019, roxygen2 Markdown and bibentry() in 2024, Rd HTML validation in 2026. Gaps of two to five years between releases are normal here.
◆ Prediction
Expect the next release whenever CRAN introduces another documentation or packaging check; there is no indication the method itself will be extended.
Alternatives to collapse and OHPL
Other Analytics 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 collapse or OHPL.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ardlverse
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
weird
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
See all collapse alternatives → · See all OHPL alternatives →
Recent activity from collapse and OHPL
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
- 4mo agoOHPLRd documentation HTML validation fixed
- 7mo agocollapseNegative zero now hashes equal to zero across the package
- 8mo agocollapsecollap() no longer double-aggregates external weights
- 9mo agocollapseCustom unlist() preserves attributes
- 0y agocollapseAssorted bug fixes
- 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
- 2y agoOHPLDocumentation modernized to current R conventions
- 7y agoOHPLCode restyled and repository links updated
- 9y agoOHPLCitation information and documentation site updated
- 9y agoOHPLPrediction and evaluation functions complete the package
Frequently asked questions
What is the difference between collapse and OHPL?
They serve adjacent needs but don't currently overlap on shipped themes. collapse and OHPL 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.
Is collapse better than OHPL?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collapse and OHPL 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 Analytics products to evaluate alongside.
What are the best alternatives to collapse?
Top collapse alternatives in Analytics are ranked by recent ship velocity. Browse the "collapse alternatives" section above for the current picks, or visit /alternatives/collapse-r for the full list with editorial commentary on each.
What are the best alternatives to OHPL?
Top OHPL alternatives in Analytics are ranked by recent ship velocity. Browse the "OHPL alternatives" section above for the current picks, or visit /alternatives/ohpl for the full list with editorial commentary on each.