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Comparison · Infra & APIs

estimatr vs jstable

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

Shared themes:r-package

estimatr vs jstable: at a glance

Featureestimatrjstable
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescausal-inference, experiments, robust-standard-errors, econometricsbiostatistics, r-package, clinical-research, survey-weighted
Last editorial update51m 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 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.

Read the full jstable trajectory →

estimatr vs jstable: 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.

J
jstable
INFRA · APIS
0.0

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.

Alternatives to estimatr and jstable

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 jstable.

See all estimatr alternatives → · See all jstable alternatives →

Recent activity from estimatr and jstable

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

  1. 4mo agojstableSurvey-weighted logistic regression and sample counts corrected
  2. 6mo agojstableCompeting-risk counts drawn from original rather than transformed data
  3. 9mo agojstableMulti-state Cox models detected without a manual flag
  4. 10mo agojstableWide fix pass across the display functions
  5. 0y agojstableCrude p-values computed from raw data via data_for_univariate
  6. 1y agojstableSignificance-filtered multivariable analysis added across seven functions
  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 jstable?

Both compete on the same themes — r-package — within Infra & APIs. estimatr and jstable 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 jstable?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. estimatr and jstable 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 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.