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collinear vs cTMed

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

collinear vs cTMed: at a glance

FeaturecollinearcTMed
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesmulticollinearity, variable selection, vif, breaking changesmediation-analysis, continuous-time-models, r-package, statistical-methods
Last editorial update1h ago54m 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 cTMed?

Continuous-time mediation effects get standardized centrality, six years into steady patch work

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

Read the full cTMed trajectory →

collinear vs cTMed: 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.

C
cTMed
ANALYTICS
2.5

Continuous-time mediation effects get standardized centrality, six years into steady patch work

◆ Current state

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

◆ Where it's heading

The package is filling out a matrix rather than changing shape: for each effect type there is a delta-method, a Monte Carlo and a bootstrap path, and each release closes another cell. The 2025 releases were largely externally forced — an Armadillo 15.0.x transition at CRAN, a citation addition after the Psychological Methods paper landed — which suggests the statistical core has been settled since the 1.0.6 standardization revision.

◆ Prediction

The diagonal-sigma option has now reached the standardized estimators; extending it to the remaining unstandardized variants is the obvious next cell to fill.

Alternatives to collinear and cTMed

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 cTMed.

See all collinear alternatives → · See all cTMed alternatives →

Recent activity from collinear and cTMed

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

  1. 26d agocTMedStandardized centrality measures and diagonal-sigma support
  2. 3mo agocollinearNamespace, NA and sf fixes; example data moves to spatialData
  3. 6mo agocTMedMinor method edits
  4. 8mo agocollinearAdaptive thresholds, multi-response support and a new output class
  5. 10mo agocTMedPackage citation added for the Psychological Methods paper
  6. 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
  7. 1y agocTMedStandardization reworked around the steady-state covariance matrix
  8. 1y agocTMedBootstrap centrality estimators and MCPhiSigma()
  9. 1y agocollinearCategorical responses, f_auto() defaults and future-based parallelism

Frequently asked questions

What is the difference between collinear and cTMed?

They serve adjacent needs but don't currently overlap on shipped themes. cTMed 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.

Is collinear better than cTMed?

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

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