qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs multimput
A side-by-side editorial comparison of ggmagnify and multimput — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs multimput: at a glance
What is ggmagnify?
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
What is multimput?
Ecological imputation tooling whose recent work is mostly about not falling over.
multimput handles multiple imputation for ecological monitoring counts, wrapping INLA and glm-style models with aggregation helpers for the follow-up analysis. The mature capability arrived with hurdle models and broader zero-inflated distribution support; recent releases have focused on degenerate inputs — empty data, identical imputations, models that never finish. It shares INBO's checklist packaging machinery with its sibling packages.
ggmagnify vs multimput: editorial side-by-side
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
multimput
0.0ANALYTICS
Ecological imputation tooling whose recent work is mostly about not falling over.
◆ Current state
multimput handles multiple imputation for ecological monitoring counts, wrapping INLA and glm-style models with aggregation helpers for the follow-up analysis. The mature capability arrived with hurdle models and broader zero-inflated distribution support; recent releases have focused on degenerate inputs — empty data, identical imputations, models that never finish. It shares INBO's checklist packaging machinery with its sibling packages.
◆ Where it's heading
The direction is defensive hardening rather than new statistics. Each recent release names a specific way the pipeline failed in practice — an empty join, all-identical imputed values, a runaway model — and closes it. That is characteristic of a package used in production monitoring workflows where the input data cannot be assumed well-behaved.
◆ Prediction
Expect further edge-case handling in model_impute() and aggregate_impute(); nothing here suggests new model families are queued.
Alternatives to ggmagnify and multimput
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 ggmagnify or multimput.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all ggmagnify alternatives → · See all multimput alternatives →
Recent activity from ggmagnify and multimput
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agomultimputFixes single-covariate selection in hurdle_impute()
- 1y agomultimputTimeout, covariate filtering and degenerate-input handling
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 2y agomultimputAccepts model functions by name; handles empty joins
- 3y agomultimputHurdle models and wider zero-inflated distribution support
- 4y agomultimputVignette builds without INLA installed
- 4y agomultimputAdopts INBO checklist packaging infrastructure
Frequently asked questions
What is the difference between ggmagnify and multimput?
Both compete on the same themes — r-package — within Analytics. ggmagnify and multimput 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 ggmagnify better than multimput?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and multimput 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.
What are the best alternatives to ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.
What are the best alternatives to multimput?
Top multimput alternatives in Analytics are ranked by recent ship velocity. Browse the "multimput alternatives" section above for the current picks, or visit /alternatives/multimput for the full list with editorial commentary on each.