wooldridge
A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.
Comparison · Infra & APIs
jstable vs nuggets
A side-by-side editorial comparison of jstable and nuggets — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
jstable vs nuggets: at a glance
What is jstable?
A clinical table generator paying down years of edge cases in survey-weighted models
jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.
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.
jstable vs nuggets: editorial side-by-side
jstable
0.0INFRA · APIS
A clinical table generator paying down years of edge cases in survey-weighted models
◆ Current state
jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.
◆ Where it's heading
Each CRAN release bundles several GitHub patch versions, so the notes read as rolled-up fix lists rather than feature announcements. The substantive thread is pcut.univariate, introduced across seven display functions in 1.3.11 to allow multivariable analysis restricted to significant variables, and repaired repeatedly since as it collided with interaction terms, single-variable selections, clustered models and data.table inputs. The survey-weighted path is the other recurring source: counts, labels and family handling that worked for unweighted data kept failing once weights were involved.
◆ Prediction
Expect further patches in the survey-weighted subgroup functions, since 1.3.25 fixed four separate issues there and each recent release has surfaced more in the same area.
nuggets
2.5INFRA · APIS
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 jstable 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 jstable or nuggets.
L1centrality
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
exametrika
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
projoint
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
eratosthenes
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
dqcheckr
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
See all jstable alternatives → · See all nuggets alternatives →
Recent activity from jstable and nuggets
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 27d agonuggetsSparse bit chain speeds dig(); explore() gains clustering
- 2mo agonuggetspartition() gains .subsets; geom_diamond() layout improved
- 4mo agojstableSurvey-weighted logistic regression and sample counts corrected
- 5mo agonuggetsexplore() covers contrasts and correlations; dig_ancestors() added
- 6mo agonuggetsCritical explore() bug fixed; is_logicalish() added
- 6mo agonuggetsShiny deps moved to Suggests; BH and RcppThread dropped
- 6mo agojstableCompeting-risk counts drawn from original rather than transformed data
- 8mo agonuggetscluster_associations() and add_interest() arrive; C++ condition parser
- 9mo agojstableMulti-state Cox models detected without a manual flag
- 10mo agojstableWide fix pass across the display functions
- 1y agojstableCrude p-values computed from raw data via data_for_univariate
- 1y agojstableSignificance-filtered multivariable analysis added across seven functions
Frequently asked questions
What is the difference between jstable 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 jstable 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 jstable?
Top jstable alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "jstable alternatives" section above for the current picks, or visit /alternatives/jstable 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.