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Comparison · Analytics

rfm vs singlercapture

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

rfm vs singlercapture: at a glance

Featurerfmsinglercapture
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, customer-analytics, segmentation, dependenciescapture-recapture, population estimation, zero-truncated models, bootstrap
Last editorial update2h ago46m ago
WebsiteVisit →Visit →

What is rfm?

A customer segmentation package that went quiet for six years and returned with dependency hygiene

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

Read the full rfm trajectory →

What is singlercapture?

singleRcapture reached 1.0.0 with no release notes at all — the arc has to be read backwards.

A package for single-source capture-recapture population size estimation: zero-truncated Poisson, geometric and negative binomial regression, Chao and Zelterman mixture models, analytic and bootstrap variance estimation, all behind estimatePopsize(). The 0.2.x line professionalised it — an offset argument, parallel bootstrap and dfbeta, faster semiparametric sampling, a singleRStaticCountData subclass explicitly created so a companion package could fit models from countreg and VGAM, then interaction-term and anova fixes. The 1.0.0 release carries nothing but a link to the compare view.

Read the full singlercapture trajectory →

rfm vs singlercapture: editorial side-by-side

R
rfm
ANALYTICS
0.0

A customer segmentation package that went quiet for six years and returned with dependency hygiene

◆ Current state

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

◆ Where it's heading

The 0.4.0 release says more about maintenance posture than about product direction — the version jump past 0.3.x with only two bug fixes and a dependency reshuffle suggests a package being brought back to a releasable state rather than resuming development. Promoting plotly and gganimate to Imports makes the visualization stack mandatory, which is a heavier install in exchange for a simpler code path. The core RFM computation itself has not changed in this window.

◆ Prediction

The entries show a package returning from dormancy rather than pursuing a roadmap, so further small fixes are more likely than new segmentation capability.

S0.0

singleRcapture reached 1.0.0 with no release notes at all — the arc has to be read backwards.

◆ Current state

A package for single-source capture-recapture population size estimation: zero-truncated Poisson, geometric and negative binomial regression, Chao and Zelterman mixture models, analytic and bootstrap variance estimation, all behind estimatePopsize(). The 0.2.x line professionalised it — an offset argument, parallel bootstrap and dfbeta, faster semiparametric sampling, a singleRStaticCountData subclass explicitly created so a companion package could fit models from countreg and VGAM, then interaction-term and anova fixes. The 1.0.0 release carries nothing but a link to the compare view.

◆ Where it's heading

The direction visible in 0.2.x is outward: refactoring for maintainability, extending to models fitted elsewhere via a subclass, adding a JSS-paper vignette, and pushing coverage towards 90%. That is a package preparing to be cited and extended rather than one still finding its methods. The 1.0.0 tag presumably marks the end of that stabilisation, but the entry itself gives no evidence either way.

◆ Prediction

Not readable from this feed — the 1.0.0 notes are empty, so whether the major version marks an API freeze or a breaking change cannot be determined from the entries shown.

Alternatives to rfm and singlercapture

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 rfm or singlercapture.

See all rfm alternatives → · See all singlercapture alternatives →

Recent activity from rfm and singlercapture

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

  1. 3mo agorfmrfm 0.4.0
  2. 6mo agosinglercapturesingleRcapture 1.0.0
  3. 1y agosinglercaptureanova and other broken methods fixed
  4. 1y agosinglercaptureInteraction terms fixed; logLik returns gradients and hessians
  5. 2y agosinglercaptureSubclass opens population estimation to countreg and VGAM fits
  6. 4y agosinglercaptureFirst usable release: zero-truncated and mixture estimators
  7. 6y agorfmrfm 0.2.2
  8. 6y agorfmrfm 0.2.1
  9. 7y agorfmrfm 0.2.0
  10. 8y agorfmrfm 0.1.1
  11. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between rfm and singlercapture?

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

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

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

What are the best alternatives to singlercapture?

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