pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
CptNonPar vs midr
A side-by-side editorial comparison of CptNonPar and midr — release velocity, themes, recent moves, and the top alternatives to consider.
CptNonPar vs midr: at a glance
What is CptNonPar?
Nonparametric change point detection swaps p-values for importance scores.
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
What is midr?
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
CptNonPar vs midr: editorial side-by-side
CptNonPar
0.0INFRA · APIS
Nonparametric change point detection swaps p-values for importance scores.
◆ Current state
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
◆ Where it's heading
The package is tightening the statistical interface it exposes: p-values gave way to importance scores across all three detection functions, manual thresholds became specifiable per lag, and the latest release makes centring and scaling the default preprocessing step. Each change folds a decision the user previously had to make into the package itself.
◆ Prediction
Expect further work on defaults and reporting around the existing MOJO estimators rather than a new detection method.
midr
0.0INFRA · APIS
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
◆ Current state
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
◆ Where it's heading
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
◆ Prediction
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
Alternatives to CptNonPar and midr
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 CptNonPar or midr.
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rsofun
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usmap
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See all CptNonPar alternatives → · See all midr alternatives →
Recent activity from CptNonPar and midr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agomidrMatrix responses bring multi-class and survival models in scope ⚡
- 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation ⚡
- 7mo agomidrMemory-efficient fitting for large design matrices
- 8mo agoCptNonParData centred and scaled by default before detection
- 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
- 2y agoCptNonParPaper link updated for CRAN checks
- 3y agoCptNonParDescription field and example cleanups
Frequently asked questions
What is the difference between CptNonPar and midr?
They serve adjacent needs but don't currently overlap on shipped themes. CptNonPar and midr 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 CptNonPar better than midr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and midr 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to CptNonPar?
Top CptNonPar alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "CptNonPar alternatives" section above for the current picks, or visit /alternatives/cptnonpar for the full list with editorial commentary on each.
What are the best alternatives to midr?
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.