constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
A side-by-side editorial comparison of multimput and qqman — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
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.
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.
Expect further edge-case handling in model_impute() and aggregate_impute(); nothing here suggests new model families are queued.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
The real development window was 2014 to 2015. The 0.1.2 release did the substantive work, replacing the assumption that SNPs are evenly distributed across chromosomes and handing users control of axis limits, labels and log transformation; 0.1.3 then added annotation by p-value threshold and top-SNP-per-chromosome. After that the package stops. Notably, the archival 0.0.0 entry records that the original script had confidence intervals on QQ plots and richer highlighting than the released package ever regained.
With one packaging fix in the last decade, these entries support no prediction of further releases. The package reads as complete for its narrow purpose rather than abandoned mid-arc.
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 multimput or qqman.
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.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all multimput alternatives → · See all qqman alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. multimput and qqman 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. multimput and qqman 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 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.
Top qqman alternatives in Analytics are ranked by recent ship velocity. Browse the "qqman alternatives" section above for the current picks, or visit /alternatives/qqman-r for the full list with editorial commentary on each.