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campsis vs mice

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

campsis vs mice: at a glance

Featurecampsismice
SectorInfra & APIsInfra & APIs
Velocity score3.80.0
Sparks · 30d10
Top themespharmacometrics, clinical-trial-simulation, breaking-changes, json-interfacemissing-data, multiple-imputation, statistics, r-package
Last editorial update6h ago1h ago
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What is campsis?

Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.

Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.

Read the full campsis trajectory →

What is mice?

mice can finally predict, not just estimate, from multiply imputed data.

mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.

Read the full mice trajectory →

campsis vs mice: editorial side-by-side

C
campsis
INFRA · APIS
3.8

Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.

◆ Current state

Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.

◆ Where it's heading

The 1.8 and 1.9 releases together describe a package being made drivable from outside R. JSON interfaces arrived first for models in Campsismod 1.3.0 and for datasets in Campsis 1.8.0, then extended to scenarios, settings and study replication; the output side has now been generalised the same way, from fixed result processing to a collection of output functions applied to simulated results. Renaming every function and cutting RxODE loose is the cost of that consolidation, paid in one deliberate breaking release rather than spread across several.

◆ Prediction

With the rename and the RxODE removal behind it, the next releases should restore the rxode2 engine to the test suite, which 1.9.0 removed temporarily, and continue filling out the output-function catalogue beyond NCA. The JSON surface looks like the intended entry point for driving Campsis from outside R, though the entries do not say what is meant to consume it.

M
mice
INFRA · APIS
0.0

mice can finally predict, not just estimate, from multiply imputed data.

◆ Current state

mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.

◆ Where it's heading

Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.

◆ Prediction

predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.

Alternatives to campsis and mice

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 campsis or mice.

See all campsis alternatives → · See all mice alternatives →

Recent activity from campsis and mice

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

  1. 15d agocampsissnake_case across the API; RxODE compatibility removed
  2. 5mo agocampsisJSON arguments reach Dataset, Scenarios and Settings
  3. 7mo agocampsisMaintenance release for future package warnings
  4. 7mo agocampsisJSON import for Campsis datasets
  5. 8mo agomicemice 3.19.0
  6. 1y agomicemice 3.18.0
  7. 1y agocampsisDosing gains vectorized compartments and cycle repetition
  8. 1y agocampsisParameter uncertainty from SIR and bootstrap output
  9. 1y agomicemice 3.17.0
  10. 3y agomicemice 3.16.0
  11. 3y agomicemice 3.15.0
  12. 4y agomicemice 3.14.0

Frequently asked questions

What is the difference between campsis and mice?

They serve adjacent needs but don't currently overlap on shipped themes. campsis is currently shipping more aggressively (velocity 3.8 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 campsis better than mice?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. campsis is currently shipping more aggressively (velocity 3.8 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 campsis?

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

What are the best alternatives to mice?

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