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Comparison · Analytics

ggdemetra vs multimput

A side-by-side editorial comparison of ggdemetra and multimput — release velocity, themes, recent moves, and the top alternatives to consider.

ggdemetra vs multimput: at a glance

Featureggdemetramultimput
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesseasonal-adjustment, ggplot2, time-series, tramo-seatsmultiple-imputation, inla, ecological-monitoring, r-package
Last editorial update51m ago1h ago
WebsiteVisit →Visit →

What is ggdemetra?

A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.

ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.

Read the full ggdemetra trajectory →

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.

Read the full multimput trajectory →

ggdemetra vs multimput: editorial side-by-side

G
ggdemetra
ANALYTICS
0.0

A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.

◆ Current state

ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.

◆ Where it's heading

The package has been steadily completing its coverage of the seasonal adjustment output surface: component extractors and autoplot methods in 0.2.3, SI ratio plotting in 0.2.5, then two releases of corrections to make SI ratios behave under TRAMO-SEATS jSA models and when no seasonal component is exported. Alongside that, the naming is being tidied — y_forecast() became raw(), and init_ggplot() shortened the setup boilerplate. This reads as a package approaching the edge of its intended scope and spending its effort on correctness.

◆ Prediction

Two consecutive releases fixing SI ratios under TRAMO-SEATS suggest that code path is the least settled part of the package, so further corrections there are the most likely next move. The entries give no indication of new model families or plot types being planned.

M
multimput
ANALYTICS
0.0

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 ggdemetra 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 ggdemetra or multimput.

See all ggdemetra alternatives → · See all multimput alternatives →

Recent activity from ggdemetra and multimput

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1y agomultimputFixes single-covariate selection in hurdle_impute()
  2. 1y agomultimputTimeout, covariate filtering and degenerate-input handling
  3. 2y agoggdemetrasiratio() fix when TRAMO-SEATS exports no seasonal component
  4. 2y agoggdemetraraw() replaces y_forecast(); new init_ggplot() helper
  5. 2y agoggdemetraRe-tagged moments later as 0.2.7
  6. 2y agomultimputAccepts model functions by name; handles empty joins
  7. 3y agomultimputHurdle models and wider zero-inflated distribution support
  8. 3y agoggdemetraSI ratio plotting functions land
  9. 4y agomultimputVignette builds without INLA installed
  10. 4y agomultimputAdopts INBO checklist packaging infrastructure
  11. 5y agoggdemetrats2df() conversion helper and geom_outlier date fix
  12. 6y agoggdemetrageom_arima no longer recomputes the model

Frequently asked questions

What is the difference between ggdemetra and multimput?

They serve adjacent needs but don't currently overlap on shipped themes. ggdemetra 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 ggdemetra better than multimput?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdemetra 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 ggdemetra?

Top ggdemetra alternatives in Analytics are ranked by recent ship velocity. Browse the "ggdemetra alternatives" section above for the current picks, or visit /alternatives/ggdemetra 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.