qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of omock and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
A mock-data generator for OMOP studies that keeps widening what it can fake.
omock builds synthetic OMOP Common Data Model tables so packages in the darwin-eu and OHDSI ecosystem can be tested without touching patient data. The 0.7.0 release adds concept set subsetting with its own vignette, unit and value support in mockMeasurement, observation date validation and cohort attrition initialization, while deprecating mockConcepts. Releases arrive as PR digests rather than written notes.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
omock builds synthetic OMOP Common Data Model tables so packages in the darwin-eu and OHDSI ecosystem can be tested without touching patient data. The 0.7.0 release adds concept set subsetting with its own vignette, unit and value support in mockMeasurement, observation date validation and cohort attrition initialization, while deprecating mockConcepts. Releases arrive as PR digests rather than written notes.
The package has been moving from generating tables to shipping and managing reference datasets — mockDatasets arrived in 0.4.0, mockCdmFromDataset gained a source argument in 0.5.0, and 0.6.1 added download retry handling plus an internal GiBleed dataset after the hosted files moved. The recent work is filling in CDM fidelity: type concepts, measurement units, attrition, and guards for degenerate cases like an empty person table.
Expect coverage to keep extending table by table toward the parts of the CDM that omock still cannot mock, with mockConcepts removed outright once the concept set subsetting path settles.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
Other Analytics 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 omock or quantities.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all omock alternatives → · See all quantities alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. omock and quantities 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. omock and quantities 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 Analytics products to evaluate alongside.
Top omock alternatives in Analytics are ranked by recent ship velocity. Browse the "omock alternatives" section above for the current picks, or visit /alternatives/omock-r for the full list with editorial commentary on each.
Top quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.