HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
estimatr vs geocomplexity
A side-by-side editorial comparison of estimatr and geocomplexity — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
estimatr vs geocomplexity: at a glance
What is estimatr?
Fast design-based estimators for experiments, coasting on CRAN patches.
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
What is geocomplexity?
A spatial complexity package that shipped its method, then went quiet
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
estimatr vs geocomplexity: editorial side-by-side
estimatr
0.0INFRA · APIS
Fast design-based estimators for experiments, coasting on CRAN patches.
◆ Current state
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
◆ Where it's heading
Direction cannot be read from this feed. The release notes are unedited merge-commit messages, so the only signal is cadence — roughly annual, each release framed as a CRAN patch rather than as feature work. That pattern is consistent with a package whose estimators are considered finished and which now moves only when CRAN policy requires it.
◆ Prediction
On the evidence here the next release is another CRAN compliance patch, but the notes are too thin to support a confident read of what the maintainers are actually working on.
geocomplexity
0.0INFRA · APIS
A spatial complexity package that shipped its method, then went quiet
◆ Current state
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
◆ Where it's heading
The package sits inside Wenbo Lyu's spatial statistics family, where shared functionality migrates into the common sdsfun package rather than being duplicated across dependents. moran_test left geocomplexity for sdsfun in 0.2.0, which is the same consolidation pattern visible across the author's other packages. What remains here is the method-specific surface, and it has not changed in eighteen months.
◆ Prediction
The entries give no signal of planned functional work; on this pattern the next release is as likely to be metadata or another function migration to sdsfun as anything user-visible.
Alternatives to estimatr and geocomplexity
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 estimatr or geocomplexity.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all estimatr alternatives → · See all geocomplexity alternatives →
Recent activity from estimatr and geocomplexity
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agogeocomplexityMaintainer surname spelling corrected for pinyin compliance
- 1y agoestimatrCRAN version 1.0.4
- 1y agogeocomplexityPackage citation added
- 1y agogeocomplexitymoran_test migrates out to the shared sdsfun package
- 1y agogeocomplexityGeographical complexity measures and complexity-weighted GWR
- 2y agoestimatrCRAN version 1.0.2
- 3y agoestimatrCRAN version 1.0.0
Frequently asked questions
What is the difference between estimatr and geocomplexity?
Both compete on the same themes — r-package — within Infra & APIs. estimatr and geocomplexity 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 estimatr better than geocomplexity?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. estimatr and geocomplexity 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to estimatr?
Top estimatr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "estimatr alternatives" section above for the current picks, or visit /alternatives/estimatr for the full list with editorial commentary on each.
What are the best alternatives to geocomplexity?
Top geocomplexity alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "geocomplexity alternatives" section above for the current picks, or visit /alternatives/geocomplexity for the full list with editorial commentary on each.