mice
mice can finally predict, not just estimate, from multiply imputed data.
Comparison · Infra & APIs
midr vs ncmR
A side-by-side editorial comparison of midr and ncmR — release velocity, themes, recent moves, and the top alternatives to consider.
midr vs ncmR: at a glance
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.
What is ncmR?
Three weeks from first CRAN submission to a point-and-click neutral community model
ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.
midr vs ncmR: editorial side-by-side
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.
ncmR
0.0INFRA · APIS
Three weeks from first CRAN submission to a point-and-click neutral community model
◆ Current state
ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.
◆ Where it's heading
The direction is toward users who do not write R. Version 0.2.0 added plotting, 0.3.0 wrapped fitting and plotting in Shiny modules, and the same release deleted the Unicode plotting helpers introduced one version earlier because the dependency they existed for was removed. That willingness to throw away a week-old API suggests the surface is still being negotiated rather than settled.
◆ Prediction
With a fitting module and a plotting module in the app, the remaining gap is getting results back out — export of fitted parameters or figures from the Shiny session. The bugfix at 0.3.1 was in file upload, which is where a GUI's problems usually start.
Alternatives to midr and ncmR
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 midr or ncmR.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
nzilbb.vowels
A vowel-analysis package trimming dependencies after an email address got it archived.
emuR
The R half of the EMU speech database system, fixing what was quietly broken.
BAS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots
tidyplots keeps rebuilding its own foundations rather than layering around them.
Recent activity from midr and ncmR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoncmRRow names preserved during file upload conversion
- 4mo agoncmRA Shiny app for fitting and plotting neutral community models ⚡
- 4mo agoncmRScatter plot with fitted curve and confidence interval
- 4mo agoncmRFirst CRAN submission: neutral community model fitting in R ⚡
- 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
Frequently asked questions
What is the difference between midr and ncmR?
They serve adjacent needs but don't currently overlap on shipped themes. midr and ncmR 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 midr better than ncmR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. midr and ncmR 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 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.
What are the best alternatives to ncmR?
Top ncmR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ncmR alternatives" section above for the current picks, or visit /alternatives/ncmr for the full list with editorial commentary on each.