HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
estimatr vs fdacluster
A side-by-side editorial comparison of estimatr and fdacluster — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
estimatr vs fdacluster: 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 fdacluster?
Functional data clustering grew from one algorithm into a comparable suite
fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.
estimatr vs fdacluster: 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.
fdacluster
0.0INFRA · APIS
Functional data clustering grew from one algorithm into a comparable suite
◆ Current state
fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.
◆ Where it's heading
The trajectory runs from method implementation toward guardrails and portability. Early releases added capability; recent ones prevent misuse and reduce weight - dplyr, forcats, tidyr and purrr removed in 0.4.0, furrr swapped for future.apply - while 0.4.2 is entirely C++ correctness, replacing Armadillo's whole-object finiteness check with scalar std::isfinite and fixing an integer overflow in linear index computation that broke large datasets. Cadence is roughly one release a year.
◆ Prediction
Given that the last two releases were dependency reduction and numerical correctness rather than method work, expect the next to continue in that vein unless a new clustering algorithm is contributed.
Alternatives to estimatr and fdacluster
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 fdacluster.
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 fdacluster alternatives →
Recent activity from estimatr and fdacluster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agofdaclusterInteger overflow fixed for large datasets, C++ finiteness checks corrected
- 1y agoestimatrCRAN version 1.0.4
- 1y agofdaclusterParallel worker setup and an acronym correction
- 1y agofdaclusterInput description arguments and enforced distance-warping compatibility
- 2y agoestimatrCRAN version 1.0.2
- 3y agoestimatrCRAN version 1.0.0
- 3y agofdaclusterMedian centroids and centroids defined on unioned grids
- 3y agofdaclusterNamespace notation and optional dependency guards
- 3y agofdaclusterHierarchical clustering, DBSCAN and a shared result class arrive together ⚡
Frequently asked questions
What is the difference between estimatr and fdacluster?
Both compete on the same themes — r-package — within Infra & APIs. estimatr and fdacluster 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 fdacluster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. estimatr and fdacluster 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 fdacluster?
Top fdacluster alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fdacluster alternatives" section above for the current picks, or visit /alternatives/fdacluster for the full list with editorial commentary on each.