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singlercapture vs svines

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

singlercapture vs svines: at a glance

Featuresinglercapturesvines
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescapture-recapture, population estimation, zero-truncated models, bootstrapvine-copulas, time-series, dependence-modelling, rcpp
Last editorial update2h ago52m ago
WebsiteVisit →Visit →

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 →

What is svines?

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

Read the full svines trajectory →

singlercapture vs svines: editorial side-by-side

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.

S
svines
ANALYTICS
0.0

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

◆ Current state

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

◆ Where it's heading

This package moves when rvinecopulib moves. The 0.2.4 release exists solely to adapt to a new rvinecopulib version, and 0.2.7 carries auto-generated GitHub release notes with no description at all. It shipped on the same day as kde1d 1.1.1, another package from the same maintainer, which is the pattern to watch: changes in the shared C++ layer surface as near-simultaneous releases across the vine family rather than as independent work.

◆ Prediction

The next release most plausibly follows another rvinecopulib update rather than adding modelling capability. Two of the three visible entries carry no substantive notes, so this feed will keep underreporting what changed.

Alternatives to singlercapture and svines

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 singlercapture or svines.

See all singlercapture alternatives → · See all svines alternatives →

Recent activity from singlercapture and svines

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

  1. 6mo agosinglercapturesingleRcapture 1.0.0
  2. 1y agosvinessvines 0.2.7
  3. 1y agosinglercaptureanova and other broken methods fixed
  4. 1y agosinglercaptureInteraction terms fixed; logLik returns gradients and hessians
  5. 1y agosvinesAdapted to new rvinecopulib version
  6. 2y agosvinesPseudo residuals and logLik support added
  7. 2y agosinglercaptureSubclass opens population estimation to countreg and VGAM fits
  8. 4y agosinglercaptureFirst usable release: zero-truncated and mixture estimators

Frequently asked questions

What is the difference between singlercapture and svines?

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

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

What are the best alternatives to svines?

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