metR
A meteorology ggplot2 extension where the netCDF reader became the main event
Comparison · Infra & APIs
driveR vs simDAG
A side-by-side editorial comparison of driveR and simDAG — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
driveR vs simDAG: at a glance
What is driveR?
A cancer driver prioritization package that ships rarely and mostly to stay installable
driveR prioritizes cancer driver genes from somatic variant and copy number data, combining coding impact scores, noncoding impact, copy number alteration scores and hotspot annotations into a multi-task learning classification model. Version 0.5.0 added gene-level SCNA data frames as an accepted input to create_features_df(), with an example table shipped alongside, widening the entry point beyond the segment-level format. The same release moved org.Hs.eg.db and both hg19 and hg38 TxDb annotation packages from Imports to Suggests under new CRAN policy, with dependent functions now raising an error when they are absent rather than silently degrading.
What is simDAG?
simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.
simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.
driveR vs simDAG: editorial side-by-side
driveR
0.0INFRA · APIS
A cancer driver prioritization package that ships rarely and mostly to stay installable
◆ Current state
driveR prioritizes cancer driver genes from somatic variant and copy number data, combining coding impact scores, noncoding impact, copy number alteration scores and hotspot annotations into a multi-task learning classification model. Version 0.5.0 added gene-level SCNA data frames as an accepted input to create_features_df(), with an example table shipped alongside, widening the entry point beyond the segment-level format. The same release moved org.Hs.eg.db and both hg19 and hg38 TxDb annotation packages from Imports to Suggests under new CRAN policy, with dependent functions now raising an error when they are absent rather than silently degrading.
◆ Where it's heading
Releases are infrequent and split cleanly between capability and correction. GRCh38 support arrived in 0.4.0 and cancer-type-specific thresholds were refreshed in 0.3.0, while the 0.2.x pair fixed scoring errors serious enough to require retraining: a column name mismatch meant the SCNA score was not being computed at all, and MCR table coordinates needed converting from hg18 to hg19. Both times the bundled classification model and thresholds were rebuilt as a consequence. Since 0.4.0 the changes have been input handling and packaging rather than method.
◆ Prediction
The move of the annotation databases to Suggests suggests a leaner install is the current priority; the entries give no indication of planned model or scoring changes.
simDAG
2.5INFRA · APIS
simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.
◆ Current state
simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.
◆ Where it's heading
The package has been widening what a simulation can represent rather than deepening any one node. Networks arrived in 0.4.0 so individuals could depend on each other, discrete-event simulation in continuous time arrived in 0.5.0 as an alternative to the discrete-time engine, and 1.0.0 connected the two by letting continuous hazards feed the event-driven path. Alongside that, node types keep accumulating for outcome families the framework could not previously generate.
◆ Prediction
Expect the node library to keep expanding into outcome types the discrete-event engine can now support, though the recent releases suggest upstream dependency churn will keep consuming release slots.
Alternatives to driveR and simDAG
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 driveR or simDAG.
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
mize
A numerical optimization toolkit that has been feature-complete and quiet since 2017
See all driveR alternatives → · See all simDAG alternatives →
Recent activity from driveR and simDAG
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18d agosimDAGCRAN-retention patch for upstream lme4 breakage
- 3mo agosimDAGArbitrary baseline hazards connect node_cox() to discrete-event sims
- 4mo agosimDAGTest-only fix for an upstream simr update
- 5mo agosimDAGAdds node_polr() for ordinal outcomes and rsurv node support
- 7mo agosimDAGAdds continuous-time discrete-event simulation ⚡
- 7mo agodriveRGene-level copy number input accepted, annotation packages made optional
- 10mo agosimDAGAdds link functions to node types and fixes a broken seed default
- 3y agodriveRCRAN documentation error fixed
- 4y agodriveRGRCh38 genome build supported
- 4y agodriveRCancer-type-specific thresholds updated
- 5y agodriveRMCR coordinates converted to hg19 and the model retrained
- 5y agodriveRCopy number score was never being computed, model rebuilt
Frequently asked questions
What is the difference between driveR and simDAG?
Both compete on the same themes — r-package — within Infra & APIs. simDAG 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 driveR better than simDAG?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. simDAG 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 driveR?
Top driveR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "driveR alternatives" section above for the current picks, or visit /alternatives/driver for the full list with editorial commentary on each.
What are the best alternatives to simDAG?
Top simDAG alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "simDAG alternatives" section above for the current picks, or visit /alternatives/simdag for the full list with editorial commentary on each.