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Comparison · Analytics

modelbased vs tidytext

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

modelbased vs tidytext: at a glance

Featuremodelbasedtidytext
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseasystats, marginal-effects, contrasts, mixed-modelstext-mining, tidyverse, topic-models, quanteda
Last editorial update45m ago1h ago
WebsiteVisit →Visit →

What is modelbased?

modelbased is turning marginal effects into a full contrast grammar

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

Read the full modelbased trajectory →

What is tidytext?

Finished, widely taught, and shipping roxygen fixes.

tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.

Read the full tidytext trajectory →

modelbased vs tidytext: editorial side-by-side

M
modelbased
ANALYTICS
0.0

modelbased is turning marginal effects into a full contrast grammar

◆ Current state

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

◆ Where it's heading

The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.

◆ Prediction

With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.

T
tidytext
ANALYTICS
0.0

Finished, widely taught, and shipping roxygen fixes.

◆ Current state

tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.

◆ Where it's heading

The direction is stability, and the release triggers are external. quanteda releases force updates to the dfm tidiers, a Matrix release forces another, tokenizers deprecating its tweet tokenizer forces removal of the tweet-specific functions here, and CRAN's Rd anchor requirement produces a release of its own. Nothing in the recent stream suggests new capability is planned, and for a package this embedded in teaching material that is a defensible position rather than a problem.

◆ Prediction

The entries do not support predicting new features. The likely next release is another compatibility update prompted by quanteda, stm, or a CRAN documentation requirement.

Alternatives to modelbased and tidytext

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 modelbased or tidytext.

See all modelbased alternatives → · See all tidytext alternatives →

Recent activity from modelbased and tidytext

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

  1. 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
  2. 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
  3. 5mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
  4. 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
  5. 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
  6. 1y agotidytextUpdate roxygen package anchors for CRAN
  7. 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
  8. 2y agotidytextFigure alt text and a quanteda v4 vignette update
  9. 3y agotidytextFix the FREX stm tidier
  10. 3y agotidytextFREX and lift tidiers added; tweet tokenizers removed
  11. 3y agotidytextUpdate dfm tidier for the upcoming Matrix release
  12. 4y agotidytextReordered scales take a labels function; STM content models tidied

Frequently asked questions

What is the difference between modelbased and tidytext?

They serve adjacent needs but don't currently overlap on shipped themes. modelbased and tidytext 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 modelbased better than tidytext?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modelbased and tidytext 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 Analytics products to evaluate alongside.

What are the best alternatives to modelbased?

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

What are the best alternatives to tidytext?

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