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collinear vs simStateSpace

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

collinear vs simStateSpace: at a glance

FeaturecollinearsimStateSpace
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmulticollinearity, variable selection, vif, breaking changesstate-space-models, simulation, longitudinal-data, r-package
Last editorial update5h 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 simStateSpace?

State-space data simulation for R, filled in one function at a time

simStateSpace generates data from state-space models — discrete-time SSM and VAR, continuous-time linear SDE and Ornstein-Uhlenbeck — for use in simulation studies of longitudinal and intensive repeated-measures designs. Recent releases add moment and intercept helpers rather than new model families: SimMVN(), the LinSDE intercept functions, and consolidation of the four separate parameter-simulation functions into one. Release notes are terse, marked Patch, and typically name one or two functions.

Read the full simStateSpace trajectory →

collinear vs simStateSpace: 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
simStateSpace
ANALYTICS
0.0

State-space data simulation for R, filled in one function at a time

◆ Current state

simStateSpace generates data from state-space models — discrete-time SSM and VAR, continuous-time linear SDE and Ornstein-Uhlenbeck — for use in simulation studies of longitudinal and intensive repeated-measures designs. Recent releases add moment and intercept helpers rather than new model families: SimMVN(), the LinSDE intercept functions, and consolidation of the four separate parameter-simulation functions into one. Release notes are terse, marked Patch, and typically name one or two functions.

◆ Where it's heading

The package is being filled in methodically toward completeness across its four model families — whatever exists for the SSM side eventually appears for LinSDE and back again, as SSMInterceptEta/SSMInterceptY in 1.2.15 were followed by their LinSDE counterparts in 1.2.16. The other visible move was outward: bootstrap components were split into a separate bootStateSpace package, keeping this one to simulation alone. It sits in the same author's cluster of state-space and mediation packages, whose published methods papers the releases cite.

◆ Prediction

Expect the pattern to continue — small patch releases adding the missing counterpart function for a model family already served, with any larger capability likely spun out into its own package as bootstrapping was.

Alternatives to collinear and simStateSpace

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 simStateSpace.

See all collinear alternatives → · See all simStateSpace alternatives →

Recent activity from collinear and simStateSpace

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

  1. 3mo agocollinearNamespace, NA and sf fixes; example data moves to spatialData
  2. 4mo agosimStateSpaceLinSDE intercept helpers added; parameter simulators consolidated
  3. 6mo agosimStateSpaceSSM intercept functions added
  4. 8mo agocollinearAdaptive thresholds, multi-response support and a new output class
  5. 10mo agosimStateSpacesimStateSpace 1.2.12
  6. 1y agosimStateSpaceLinSDECov() and LinSDEMean() added
  7. 1y agosimStateSpaceBootstrap components split into bootStateSpace
  8. 1y agosimStateSpaceParametric bootstrap functions across all four model families
  9. 1y agocollinearCategorical responses, f_auto() defaults and future-based parallelism

Frequently asked questions

What is the difference between collinear and simStateSpace?

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

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

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