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Comparison · Infra & APIs

simDAG vs sps

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

Shared themes:r-package

simDAG vs sps: at a glance

FeaturesimDAGsps
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesr-package, causal-inference, dag-simulation, discrete-event-simulationr-package, survey-sampling, sequential-poisson, performance
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is simDAG?

simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.

simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.

Read the full simDAG trajectory →

What is sps?

sps keeps sanding down sequential Poisson sampling rather than adding to it.

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

Read the full sps trajectory →

simDAG vs sps: editorial side-by-side

S
simDAG
INFRA · APIS
2.5

simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.

◆ Current state

simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.

◆ Where it's heading

The package has been widening what a simulation can represent rather than deepening any one node. Networks arrived in 0.4.0 so individuals could depend on each other, discrete-event simulation in continuous time arrived in 0.5.0 as an alternative to the discrete-time engine, and 1.0.0 connected the two by letting continuous hazards feed the event-driven path. Alongside that, node types keep accumulating for outcome families the framework could not previously generate.

◆ Prediction

Expect the node library to keep expanding into outcome types the discrete-event engine can now support, though the recent releases suggest upstream dependency churn will keep consuming release slots.

S
sps
INFRA · APIS
2.5

sps keeps sanding down sequential Poisson sampling rather than adding to it.

◆ Current state

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

◆ Where it's heading

Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.

◆ Prediction

Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.

Alternatives to simDAG and sps

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 simDAG or sps.

See all simDAG alternatives → · See all sps alternatives →

Recent activity from simDAG and sps

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

  1. 18d agosimDAGCRAN-retention patch for upstream lme4 breakage
  2. 1mo agospsDocumentation polish; switches to tinytest and litedown
  3. 3mo agosimDAGArbitrary baseline hazards connect node_cox() to discrete-event sims
  4. 4mo agosimDAGTest-only fix for an upstream simr update
  5. 5mo agosimDAGAdds node_polr() for ordinal outcomes and rsurv node support
  6. 7mo agosimDAGAdds continuous-time discrete-event simulation
  7. 9mo agospsFixes extra argument handling in sps_iterator()
  8. 10mo agosimDAGAdds link functions to node types and fixes a broken seed default
  9. 11mo agospsAdds divisor_method() and a one-unit-at-a-time sampling iterator
  10. 1y agospsAdds an inclusion-probability vignette and faster partial sorting
  11. 1y agospsAutomatic tau selection for replicate weights
  12. 2y agospsAdds becomes_ta() for take-all stratum sample sizes

Frequently asked questions

What is the difference between simDAG and sps?

Both compete on the same themes — r-package — within Infra & APIs. simDAG and sps are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 simDAG better than sps?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. simDAG and sps are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to simDAG?

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

What are the best alternatives to sps?

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