gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
Comparison · Analytics
n2kanalysis vs rstatix
A side-by-side editorial comparison of n2kanalysis and rstatix — release velocity, themes, recent moves, and the top alternatives to consider.
n2kanalysis vs rstatix: at a glance
What is n2kanalysis?
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
What is rstatix?
rstatix hit 1.0 by unrounding every p-value it has ever returned
rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.
n2kanalysis vs rstatix: editorial side-by-side
n2kanalysis
0.0ANALYTICS
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
◆ Current state
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
◆ Where it's heading
Development is slow, institutional, and driven by the modeling needs of specific monitoring programmes rather than a product roadmap. The pattern across the window is a new model class when the ecology requires one, then a stretch of infrastructure work around storage, credentials and pipeline efficiency. The 0.4.1 release is characteristic — a credentials helper, better result retrieval, more tests and a code-style pass, with no modeling change at all. Much of the early history is recorded only as merge-commit titles, so the release record thins out the further back it goes.
◆ Prediction
Expect the next substantive release to add another INLA model variant as a monitoring programme needs it, with S3 and credential handling continuing to absorb the maintenance effort in between.
rstatix
2.5ANALYTICS
rstatix hit 1.0 by unrounding every p-value it has ever returned
◆ Current state
rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.
◆ Where it's heading
The work is about matching what dedicated effect-size packages give you without taking on their dependencies. Confidence intervals for partial eta squared and for Cohen's d are both computed in base R from noncentral distributions and both check against effectsize; compact letter displays are computed in base R against multcompView. The pattern is deliberate — reproduce the reference implementation, add no imports. Alongside that, the package has started correcting statistical hygiene it got wrong for years, most visibly by no longer rounding p-values before adjusting them.
◆ Prediction
The analytic-interval machinery now exists for eta squared and Cohen's d; the untouched effect sizes in the package — eta squared for nonparametric tests, Cramer's V, rank-biserial correlation — are the obvious next targets for the same base-R noncentral treatment.
Alternatives to n2kanalysis and rstatix
Other Analytics 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 n2kanalysis or rstatix.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ardlverse
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
weird
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
distributions3
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
mizer
After two and a half years dormant, mizer shipped three major versions in seven weeks.
See all n2kanalysis alternatives → · See all rstatix alternatives →
Recent activity from n2kanalysis and rstatix
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 22d agorstatixrstatix 1.1.0 gives Cohen's d a deterministic confidence interval
- 1mo agorstatixrstatix 1.0.0 stops rounding p-values before adjusting them ⚡
- 4mo agon2kanalysisconnect_inbo_s3() exposes temporary credentials to R
- 9mo agorstatixrstatix 0.7.3
- 1y agon2kanalysisINLA models with SPDE elements supported
- 2y agon2kanalysisfit_model() made more efficient
- 3y agon2kanalysisHurdle models with imputation added
- 3y agorstatixrstatix 0.7.2
- 3y agorstatixrstatix 0.7.1
- 5y agorstatixrstatix 0.7.0
- 7y agon2kanalysisImputed data handling improvements
- 7y agon2kanalysisINLA models consolidated onto a single class
Frequently asked questions
What is the difference between n2kanalysis and rstatix?
They serve adjacent needs but don't currently overlap on shipped themes. rstatix 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 n2kanalysis better than rstatix?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstatix 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 Analytics products to evaluate alongside.
What are the best alternatives to n2kanalysis?
Top n2kanalysis alternatives in Analytics are ranked by recent ship velocity. Browse the "n2kanalysis alternatives" section above for the current picks, or visit /alternatives/n2kanalysis for the full list with editorial commentary on each.
What are the best alternatives to rstatix?
Top rstatix alternatives in Analytics are ranked by recent ship velocity. Browse the "rstatix alternatives" section above for the current picks, or visit /alternatives/rstatix for the full list with editorial commentary on each.