← Back to home
Comparison · Infra & APIs

multimark vs prova

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

multimark vs prova: at a glance

Featuremultimarkprova
SectorInfra & APIsInfra & APIs
Velocity score0.06.3
Sparks · 30d01
Top themescapture-recapture, mcmc, maintenance, cranr-packages, bayesian-inference, decision-analysis, api-consolidation
Last editorial update43m ago4h ago
WebsiteVisit →Visit →

What is multimark?

Five years of compiler and CRAN fixes on a capture-recapture package.

multimark fits capture-mark-recapture models for populations sampled with multiple non-invasive marks, including a spatial variant. Nothing in the visible history changes the models. Every recent release responds to something outside the package: a CRAN check, a compiler flag, or an upstream package that stopped exporting a function.

Read the full multimark trajectory →

What is prova?

prova adds expected-utility calculation on top of its Bayesian inference core.

prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.

Read the full prova trajectory →

multimark vs prova: editorial side-by-side

M
multimark
INFRA · APIS
0.0

Five years of compiler and CRAN fixes on a capture-recapture package.

◆ Current state

multimark fits capture-mark-recapture models for populations sampled with multiple non-invasive marks, including a spatial variant. Nothing in the visible history changes the models. Every recent release responds to something outside the package: a CRAN check, a compiler flag, or an upstream package that stopped exporting a function.

◆ Where it's heading

This is preservation rather than development. The one substantive entry, in 2021, corrected an MCMC error in multimarkClosedSCR() serious enough that the author told users to revisit past analyses; everything since has been keeping the C code compiling across platforms. Release intervals now stretch to years.

◆ Prediction

Expect the pattern to hold, with a release whenever a toolchain or upstream dependency forces one and no change to the samplers.

P
prova
INFRA · APIS
6.3

prova adds expected-utility calculation on top of its Bayesian inference core.

◆ Current state

prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.

◆ Where it's heading

Two arcs run in parallel. One compresses the API: learnt= became K=, flexiplot() and plotquantiles() merged into pplot(), and omitting arguments such as Y=, X= and K= got simpler. The other extends reach — mutualinfoF() for finite-domain variates, quantile accuracy reported alongside mutual information, and now a decision-theoretic layer sitting on the inference the package already did.

◆ Prediction

exputility() shipping with print() and plot() methods matches how the probability and mutual-information classes were treated, so utilities are likely to get the same class-based handling as they mature. The notes do not say whether decision analysis extends beyond expected utility.

Alternatives to multimark and prova

Other Infra & APIs 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 multimark or prova.

See all multimark alternatives → · See all prova alternatives →

Recent activity from multimark and prova

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

  1. 13d agoprovaexputility() brings decision analysis into prova
  2. 20d agoprovaCumulative 2.x notes, plus hist() and mutual-information changes
  3. 23d agoprovalearnt= becomes K=; pplot() replaces two plot functions
  4. 28d agoprovaFix for pre-existing parallel clusters
  5. 28d agoprovaextraDistr dropped; mutual-information objects get a class
  6. 8mo agomultimarkBrobdingnag sum import dropped after upstream removal
  7. 3y agomultimarkr-devel error fixed at CRAN's request
  8. 3y agomultimarkLinux compilation warnings cleared
  9. 4y agomultimarkFedora build error fixed at CRAN's request
  10. 4y agomultimarkMCMC detection-probability bug fixed in multimarkClosedSCR()
  11. 4y agomultimarkUnused parallelism dependencies removed

Frequently asked questions

What is the difference between multimark and prova?

They serve adjacent needs but don't currently overlap on shipped themes. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 multimark better than prova?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to multimark?

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

What are the best alternatives to prova?

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