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Comparison · Analytics

OHPL vs RadialMR

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

OHPL vs RadialMR: at a glance

FeatureOHPLRadialMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeschemometrics, variable-selection, spectroscopy, archival-maintenancemendelian-randomization, radial-plots, correctness-audit, statistical-inference
Last editorial update1h ago51m 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 RadialMR?

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

Read the full RadialMR trajectory →

OHPL vs RadialMR: 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.

R
RadialMR
ANALYTICS
0.0

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

◆ Current state

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

◆ Where it's heading

This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.

◆ Prediction

Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.

Alternatives to OHPL and RadialMR

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 RadialMR.

See all OHPL alternatives → · See all RadialMR alternatives →

Recent activity from OHPL and RadialMR

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

  1. 1mo agoRadialMRegger_radial() degrees of freedom corrected to n-2
  2. 3mo agoRadialMRroxygen2 bumped; package-level helpfile added
  3. 4mo agoOHPLRd documentation HTML validation fixed
  4. 4mo agoRadialMRUnspecified codebase optimizations
  5. 1y agoRadialMRggplot2 v4 warning removed from plot_radial()
  6. 2y agoOHPLDocumentation modernized to current R conventions
  7. 7y agoOHPLCode restyled and repository links updated
  8. 9y agoOHPLCitation information and documentation site updated
  9. 9y agoOHPLPrediction and evaluation functions complete the package

Frequently asked questions

What is the difference between OHPL and RadialMR?

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

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

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