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collinear vs soilDBdata

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

Shared themes:r package

collinear vs soilDBdata: at a glance

FeaturecollinearsoilDBdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmulticollinearity, variable selection, vif, breaking changessoil data, test fixtures, nasis, data package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is collinear?

collinear has broken its API twice to stop making the user pick thresholds.

collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.

Read the full collinear trajectory →

What is soilDBdata?

soilDBdata exists so soilDB's tests can run without a NASIS connection.

soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.

Read the full soilDBdata trajectory →

collinear vs soilDBdata: editorial side-by-side

C
collinear
ANALYTICS
0.0

collinear has broken its API twice to stop making the user pick thresholds.

◆ Current state

collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.

◆ Where it's heading

The through-line is removing decisions the user was never well placed to make. Preference-order functions were renamed twice — first onto a metric-and-model scheme in 2.0.0, then onto a response-type scheme in 3.0.0 — and f_auto() picks one when none is given; target encoding went from automatic to opt-in; max_cor and max_vif now default to NULL and trigger a data-driven threshold derived from the 75th percentile of pairwise correlations through a sigmoid and a fitted correlation-to-VIF mapping. Each change is defensible and each one broke callers, which is the cost of this approach.

◆ Prediction

3.0.1 moved the example datasets out into a separate spatialData package and fixed four crashes rather than adding anything, so the next release is most likely more consolidation on the 3.0 surface than a fourth interface.

S
soilDBdata
ANALYTICS
0.0

soilDBdata exists so soilDB's tests can run without a NASIS connection.

◆ Current state

soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.

◆ Where it's heading

Development follows soilDB rather than leading it: assets get bumped when a soilDB version changes, and purpose lists are updated when soilDB adds a table. The one release that changed what testing is possible was v0.1.1, which added selected-set _View_1 tables alongside whole tables so both SS=TRUE and SS=FALSE code paths could be exercised. Four-year gaps between releases are normal here and do not indicate abandonment — a fixture package only needs to move when the fixtures go stale.

◆ Prediction

The recent addition is a new geography rather than a new table structure, so further releases most likely continue broadening dataset coverage as soilDB gains regions to test against.

Alternatives to collinear and soilDBdata

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 collinear or soilDBdata.

See all collinear alternatives → · See all soilDBdata alternatives →

Recent activity from collinear and soilDBdata

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

  1. 3mo agocollinearNamespace, NA and sf fixes; example data moves to spatialData
  2. 3mo agosoilDBdataMarshall Islands FY26 gSSURGO dataset added
  3. 8mo agocollinearAdaptive thresholds, multi-response support and a new output class
  4. 1y agocollinearCategorical responses, f_auto() defaults and future-based parallelism
  5. 1y agosoilDBdataMT663 fixtures refreshed for soilDB 2.8.3
  6. 1y agosoilDBdataNASIS purpose lists updated for siteothvegclass
  7. 4y agosoilDBdataSelected-set _View_1 tables enable SS=TRUE/FALSE testing
  8. 4y agosoilDBdataProof of concept: MT663 pedon and component .sqlite fixtures

Frequently asked questions

What is the difference between collinear and soilDBdata?

Both compete on the same themes — r package — within Analytics. collinear and soilDBdata 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 collinear better than soilDBdata?

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

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

What are the best alternatives to soilDBdata?

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