nuggets
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
Comparison · Infra & APIs
cvms vs inti
A side-by-side editorial comparison of cvms and inti — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cvms vs inti: at a glance
What is cvms?
A cross-validation package whose real development has moved to its plotting function
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
What is inti?
inti keeps compounding small statistics and publishing tools for plant-science labs.
inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.
cvms vs inti: editorial side-by-side
cvms
0.0INFRA · APIS
A cross-validation package whose real development has moved to its plotting function
◆ Current state
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
◆ Where it's heading
Two threads run in parallel and only one is about cross-validation. The plotting function plot_confusion_matrix() has absorbed most feature work since 1.5.0 - custom gradient palettes, intensity limits, per-tile settings, dynamic font colors keyed to value thresholds, and arguments that accept functions rather than constants - to the point where a companion web application exists for using it without code. The cross-validation core, by contrast, sees maintenance: upstream compatibility fixes for pROC, ggnewscale and ggplot2, and the fold-matching correction that finally forced a major version.
◆ Prediction
Expect continued option growth in the confusion matrix plotting surface, since that is where nearly every release since 1.5.0 has spent its changes, with core cross-validation changes arriving only as upstream packages force them.
inti
2.5INFRA · APIS
inti keeps compounding small statistics and publishing tools for plant-science labs.
◆ Current state
inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.
◆ Where it's heading
Two axes are moving. Analysis is deepening inside Yupana, where PCA went from a single view to a sub-module with its own contribution and correlation outputs across three tags. Publishing is widening around rticle() and scihub(), which now handle Google Docs markdown, crossrefs and page numbers, continuing the gdocs2qmd work from the 0.6 line. Neither is a change of direction; the package accretes features where the maintainer's own research workflow needs them.
◆ Prediction
Expect the next tag to extend the PCA sub-module again and add another rticle() or scihub() rendering detail, on the two-to-six-week cadence the 0.7 line has held.
Alternatives to cvms and inti
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 cvms or inti.
projoint
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
eratosthenes
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
dqcheckr
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
lifecontingencies
An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.
EDAForge
EDAForge is a data-quality auditor renamed mid-flight, still finding its CRAN footing.
Recent activity from cvms and inti
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 22d agointiscihub() gains pages, rticle() improves crossrefs
- 1mo agointi0.7.1 restates the 0.7.0 PCA and Tarpuy notes
- 2mo agointiPCA sub-module adds contribution and dimension correlation
- 2mo agointiNew rticle() renders Google Docs markdown into articles
- 2mo agocvmsCoefficient extraction restored for multinom and mixed models
- 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
- 10mo agointiH2cal() takes factors as a formula; scihub() templates updated
- 11mo agointiSciHub RStudio addin arrives; gdocs2qmd table export fixed
- 11mo agocvmsTest compatibility with pROC 1.19 and a deprecation warning fix
- 1y agocvmsConfusion matrix fonts and colors can now be computed from the values
- 1y agocvmsTile intensity by row or column percentages
- 1y agocvmsMultinom coefficient extraction fix after a parameters update
Frequently asked questions
What is the difference between cvms and inti?
Both compete on the same themes — r-package — within Infra & APIs. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 cvms better than inti?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 cvms?
Top cvms alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cvms alternatives" section above for the current picks, or visit /alternatives/cvms for the full list with editorial commentary on each.
What are the best alternatives to inti?
Top inti alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "inti alternatives" section above for the current picks, or visit /alternatives/inti for the full list with editorial commentary on each.