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Comparison · Infra & APIs
inlabru vs remap
A side-by-side editorial comparison of inlabru and remap — release velocity, themes, recent moves, and the top alternatives to consider.
inlabru vs remap: at a glance
What is inlabru?
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.
What is remap?
A regional-model smoother in long-term maintenance, four years past its last real feature.
remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.
inlabru vs remap: editorial side-by-side
inlabru
2.5INFRA · APIS
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
◆ Current state
inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.
◆ Where it's heading
The arc is consolidation of the extension surface rather than expansion of the model catalogue. Every release adds mappers or families with one hand and removes a dependency, a re-export or a deprecated path with the other — plyr in 2.15.0, fmesher's Depends entry in 2.14.1, sp and ggmap in 2.12.0. The compatibility flag bru_compat_pre_2_14_enable and the temporary fm_int/fm_pixels re-exports show a maintainer sequencing breaks across releases instead of landing them together.
◆ Prediction
The 2.14 compatibility flag is still defaulting to TRUE and the fmesher re-exports are described in the entries as temporary, so the next obvious move is a release that flips bru_compat_pre_2_14_enable off and drops those re-exports.
remap
0.0INFRA · APIS
A regional-model smoother in long-term maintenance, four years past its last real feature.
◆ Current state
remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.
◆ Where it's heading
This is a stable academic package tracking its ecosystem rather than growing. The visible pattern is reactive maintenance: sf's 1.0.0 transition, ggplot2's size-to-linewidth rename, a gcc-UBSAN error on zero-point distance calculations, and now a check that distance matrices passed to remap() and predict() are converted to kilometres. Note that the feed's timestamps invert the version order — 0.3.1 is stamped seconds after 0.3.2 despite being the earlier release, so recency in this feed is not a reliable guide to sequence.
◆ Prediction
Nothing in these entries points to new capability. The realistic expectation is more of the same: a patch whenever sf, ggplot2 or a CRAN check surfaces an incompatibility, at roughly the observed cadence of one release every year or two.
Alternatives to inlabru and remap
Other Infra & APIs 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 inlabru or remap.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all inlabru alternatives → · See all remap alternatives →
Recent activity from inlabru and remap
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 23d agoinlabruPredictor linearisation rewritten; broom tidiers, truncated families
- 1mo agoremapDistance matrices now converted to kilometres automatically
- 3mo agoinlabruBugfix release: factor contrasts, raster extraction, error classes
- 5mo agoinlabruNew mappers, standardised cgeneric support, bru_obs storage refactor
- 1y agoinlabruMapper classes shortened to bm_*, experimental predictor aggregation
- 1y agoremapCitation updated to the R Journal article
- 1y agoremapUBSAN fix, parallel patch and sf search-path independence
- 1y agoinlabruDrops sp and ggmap for an sf-native spatial stack ⚡
- 3y agoremappredict() can return an upper bound on combined standard errors
- 5y agoremapRegions without observations no longer break the prediction surface
Frequently asked questions
What is the difference between inlabru and remap?
They serve adjacent needs but don't currently overlap on shipped themes. inlabru is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is inlabru better than remap?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inlabru is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to inlabru?
Top inlabru alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "inlabru alternatives" section above for the current picks, or visit /alternatives/inlabru for the full list with editorial commentary on each.
What are the best alternatives to remap?
Top remap alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "remap alternatives" section above for the current picks, or visit /alternatives/remap for the full list with editorial commentary on each.