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Comparison · Infra & APIs

estimatr vs nuggets

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

Shared themes:r-package

estimatr vs nuggets: at a glance

Featureestimatrnuggets
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themescausal-inference, experiments, robust-standard-errors, econometricspattern-mining, association-rules, guha, cpp-performance
Last editorial update23h ago1h ago
WebsiteVisit →Visit →

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.

Read the full estimatr trajectory →

What is nuggets?

nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.

nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.

Read the full nuggets trajectory →

estimatr vs nuggets: editorial side-by-side

E
estimatr
INFRA · APIS
0.0

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.

N
nuggets
INFRA · APIS
2.5

nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.

◆ Current state

nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.

◆ Where it's heading

Two forces are shaping the package. One is coverage: baseline, complement and paired-baseline contrasts, correlations, tautologies, ancestors and clustering have all been added as first-class dig_ or explore_ surfaces, so the same search engine now answers a widening set of questions. The other is weight — Shiny packages moved from Imports to Suggests, BH and RcppThread dropped, XSIMD updated, parse_condition() rewritten in C++ — which keeps a package with an interactive app from forcing that app's dependencies on every user. Deprecations are handled through lifecycle rather than removed abruptly.

◆ Prediction

Expect the sparse-data optimisation to extend from crisp to fuzzy data, and explore() to keep gaining tabs as each new pattern family lands, on the roughly six-week cadence the 2.2 line has held.

Alternatives to estimatr and nuggets

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 nuggets.

See all estimatr alternatives → · See all nuggets alternatives →

Recent activity from estimatr and nuggets

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

  1. 27d agonuggetsSparse bit chain speeds dig(); explore() gains clustering
  2. 2mo agonuggetspartition() gains .subsets; geom_diamond() layout improved
  3. 5mo agonuggetsexplore() covers contrasts and correlations; dig_ancestors() added
  4. 6mo agonuggetsCritical explore() bug fixed; is_logicalish() added
  5. 6mo agonuggetsShiny deps moved to Suggests; BH and RcppThread dropped
  6. 8mo agonuggetscluster_associations() and add_interest() arrive; C++ condition parser
  7. 1y agoestimatrCRAN version 1.0.4
  8. 2y agoestimatrCRAN version 1.0.2
  9. 3y agoestimatrCRAN version 1.0.0

Frequently asked questions

What is the difference between estimatr and nuggets?

Both compete on the same themes — r-package — within Infra & APIs. nuggets 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 estimatr better than nuggets?

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

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