tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Comparison · Analytics
errors vs inbospatial
A side-by-side editorial comparison of errors and inbospatial — release velocity, themes, recent moves, and the top alternatives to consider.
errors vs inbospatial: at a glance
What is errors?
errors keeps making uncertainty print the way each scientific field expects.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
What is inbospatial?
A thin R wrapper over Flemish geospatial services, adding one standard at a time
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
errors vs inbospatial: editorial side-by-side
errors
0.0ANALYTICS
errors keeps making uncertainty print the way each scientific field expects.
◆ Current state
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
◆ Where it's heading
Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.
◆ Prediction
Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.
inbospatial
0.0ANALYTICS
A thin R wrapper over Flemish geospatial services, adding one standard at a time
◆ Current state
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
◆ Where it's heading
The package grows by absorbing one more service standard per release rather than by adding abstraction. The 0.1.0 additions point the same way — get_feature_ogc() covers a newer OGC standard alongside the existing WCS and WFS paths, and get_wcs_layers() addresses the practical problem that you cannot query a coverage without first knowing what layers exist. Release cadence is slow and driven by which service the maintainers needed next.
◆ Prediction
Expect the next release to add another regional service endpoint or extend OGC API Features coverage, on a timescale of a year or more given the gaps between the three releases so far.
Alternatives to errors and inbospatial
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 errors or inbospatial.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
symengine
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools
gtfstools stopped guarding its own object model and started accepting everyone else's.
quantities
The glue package that makes R carry units and uncertainty through the same calculation.
See all errors alternatives → · See all inbospatial alternatives →
Recent activity from errors and inbospatial
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoinbospatialOGC API Features querying and WCS layer discovery arrive
- 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
- 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
- 1y agoinbospatialFlanders digital elevation model becomes queryable
- 2y agoerrorserrors 0.4.2 adds PDG rounding rules
- 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
- 2y agoinbospatialWMS and WMTS shorthands plus projection distortion utilities
- 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
- 5y agoerrorserrors 0.3.6
Frequently asked questions
What is the difference between errors and inbospatial?
They serve adjacent needs but don't currently overlap on shipped themes. errors and inbospatial 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 errors better than inbospatial?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. errors and inbospatial 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 errors?
Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r for the full list with editorial commentary on each.
What are the best alternatives to inbospatial?
Top inbospatial alternatives in Analytics are ranked by recent ship velocity. Browse the "inbospatial alternatives" section above for the current picks, or visit /alternatives/inbospatial for the full list with editorial commentary on each.