driveR
A cancer driver prioritization package that ships rarely and mostly to stay installable
Comparison · Infra & APIs
cvms vs Luminescence
A side-by-side editorial comparison of cvms and Luminescence — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cvms vs Luminescence: 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 Luminescence?
Luminescence is revisiting the statistical assumptions baked into its dose-response fits.
The package provides luminescence dating analysis for the geochronology community — signal import from several instrument formats, dose-response curve fitting, and a large library of analysis routines. The current release changes how fitting weights are handled by default, on the reasoning that individual relative uncertainties do not in fact scale with dose as the previous approach assumed. Several releases in this window are historical versions backfilled into the feed, so their timestamps sit within minutes of each other and do not reflect when the work shipped.
cvms vs Luminescence: 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.
Luminescence
2.5INFRA · APIS
Luminescence is revisiting the statistical assumptions baked into its dose-response fits.
◆ Current state
The package provides luminescence dating analysis for the geochronology community — signal import from several instrument formats, dose-response curve fitting, and a large library of analysis routines. The current release changes how fitting weights are handled by default, on the reasoning that individual relative uncertainties do not in fact scale with dose as the previous approach assumed. Several releases in this window are historical versions backfilled into the feed, so their timestamps sit within minutes of each other and do not reflect when the work shipped.
◆ Where it's heading
Two kinds of change dominate. The first is deliberate breaking changes made for correctness or consistency: the weighting rework, and import functions now uniformly appending the detector to record types so all formats behave as one always did. The second is a steady stream of new analysis functions contributed by the wider research community, covering crosstalk correction, spatial autocorrelation on grain discs, and incomplete bleaching models. Deprecated functions are being removed on a clear schedule rather than left indefinitely.
◆ Prediction
Expect further consolidation of defaults that were inherited rather than chosen, since the weighting change is framed as correcting earlier reasoning rather than adding an option.
Alternatives to cvms and Luminescence
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 Luminescence.
metR
A meteorology ggplot2 extension where the netCDF reader became the main event
IsoriX
An isotope geolocation package still recovering from the r-spatial retirement
fdacluster
Functional data clustering grew from one algorithm into a comparable suite
profoc
A forecast combination package that spun its profiler out into its own project
adjustedCurves
A survival curve package spending release after release correcting its own estimates
See all cvms alternatives → · See all Luminescence alternatives →
Recent activity from cvms and Luminescence
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 26d agoLuminescenceReworks dose-response fitting weights, changing prior defaults
- 2mo agocvmsCoefficient extraction restored for multinom and mixed models
- 4mo agoLuminescenceFixes an uninitialised array and background overcounting
- 5mo agoLuminescenceImport functions now append detector type to record names
- 7mo agoLuminescenceAdds crosstalk correction, Moran's I, and dose-response fitting
- 7mo agoLuminescenceFixes baSAR reporting, fading input checks, and plot regressions
- 7mo agoLuminescenceAdds automatic background subtraction and record removal helpers
- 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
- 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 Luminescence?
Both compete on the same themes — r-package — within Infra & APIs. Luminescence 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 Luminescence?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Luminescence 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 Luminescence?
Top Luminescence alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Luminescence alternatives" section above for the current picks, or visit /alternatives/luminescence for the full list with editorial commentary on each.