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Comparison · Analytics

modelbased vs rnaturalearth

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

modelbased vs rnaturalearth: at a glance

Featuremodelbasedrnaturalearth
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseasystats, marginal-effects, contrasts, mixed-modelsspatial-data, natural-earth, sf-migration, geopackage
Last editorial update1h ago53m ago
WebsiteVisit →Visit →

What is modelbased?

modelbased is turning marginal effects into a full contrast grammar

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

Read the full modelbased trajectory →

What is rnaturalearth?

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

Read the full rnaturalearth trajectory →

modelbased vs rnaturalearth: editorial side-by-side

M
modelbased
ANALYTICS
0.0

modelbased is turning marginal effects into a full contrast grammar

◆ Current state

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

◆ Where it's heading

The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.

◆ Prediction

With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.

R
rnaturalearth
ANALYTICS
0.0

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

◆ Current state

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

◆ Where it's heading

With the class question settled, the work has shifted to not re-downloading and not unpacking — VFS reads, caching, and a container format that does not need a sidecar of four files. That points at the package being used in repeated or automated contexts rather than interactive one-offs. The shapefile-to-GeoPackage transition is explicitly incomplete.

◆ Prediction

Completing the GeoPackage transition for `load = FALSE` downloads is the obvious next step, since 1.1.0 described it as in progress.

Alternatives to modelbased and rnaturalearth

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 modelbased or rnaturalearth.

See all modelbased alternatives → · See all rnaturalearth alternatives →

Recent activity from modelbased and rnaturalearth

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

  1. 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
  2. 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
  3. 5mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
  4. 6mo agornaturalearthrnaturalearth 1.2.0
  5. 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
  6. 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
  7. 1y agornaturalearthrnaturalearth 1.1.0
  8. 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
  9. 2y agornaturalearthrnaturalearth 1.0.0 drops sp for sf and terra
  10. 3y agornaturalearthrnaturalearth 0.3.3 deprecates sp, imports terra

Frequently asked questions

What is the difference between modelbased and rnaturalearth?

They serve adjacent needs but don't currently overlap on shipped themes. modelbased and rnaturalearth 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 modelbased better than rnaturalearth?

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

Top modelbased alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbased alternatives" section above for the current picks, or visit /alternatives/modelbased for the full list with editorial commentary on each.

What are the best alternatives to rnaturalearth?

Top rnaturalearth alternatives in Analytics are ranked by recent ship velocity. Browse the "rnaturalearth alternatives" section above for the current picks, or visit /alternatives/rnaturalearth for the full list with editorial commentary on each.