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OHPL vs scoringutils

A side-by-side editorial comparison of OHPL and scoringutils — release velocity, themes, recent moves, and the top alternatives to consider.

OHPL vs scoringutils: at a glance

FeatureOHPLscoringutils
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeschemometrics, variable-selection, spectroscopy, archival-maintenanceforecast evaluation, probabilistic scoring, multivariate forecasts, s3 classes
Last editorial update41m ago2h ago
WebsiteVisit →Visit →

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.

Read the full OHPL trajectory →

What is scoringutils?

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

Read the full scoringutils trajectory →

OHPL vs scoringutils: editorial side-by-side

O
OHPL
ANALYTICS
0.0

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.

S
scoringutils
ANALYTICS
0.0

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

◆ Current state

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

◆ Where it's heading

The forecast-type system introduced in 2.0.0 is the engine of everything since: each release fits another outcome shape into it rather than reworking the scoring interface. Multivariate support is the largest of those additions because it scores the dependence structure between variables, not just marginal accuracy. Type and constructor names are still being reconciled — forecast_sample_multivariate was renamed to forecast_multivariate_sample with a deprecation window.

◆ Prediction

Expect further forecast types and metrics slotted into the same constructor pattern, and the deprecated forecast_sample_multivariate alias and is_forecast_sample_multivariate() to be removed once that window closes.

Alternatives to OHPL and scoringutils

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 OHPL or scoringutils.

See all OHPL alternatives → · See all scoringutils alternatives →

Recent activity from OHPL and scoringutils

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4mo agoOHPLRd documentation HTML validation fixed
  2. 4mo agoscoringutilsMultivariate forecast scoring and the variogram score
  3. 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
  4. 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
  5. 1y agoscoringutilsOrdinal forecasts get their own class and metrics
  6. 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics
  7. 2y agoOHPLDocumentation modernized to current R conventions
  8. 2y agoscoringutilsTwo bug fixes and package-site infrastructure
  9. 7y agoOHPLCode restyled and repository links updated
  10. 9y agoOHPLCitation information and documentation site updated
  11. 9y agoOHPLPrediction and evaluation functions complete the package

Frequently asked questions

What is the difference between OHPL and scoringutils?

They serve adjacent needs but don't currently overlap on shipped themes. OHPL and scoringutils 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 OHPL better than scoringutils?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OHPL and scoringutils 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 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.

What are the best alternatives to scoringutils?

Top scoringutils alternatives in Analytics are ranked by recent ship velocity. Browse the "scoringutils alternatives" section above for the current picks, or visit /alternatives/scoringutils for the full list with editorial commentary on each.