← Back to home
Comparison · Analytics

lubridate vs modelbased

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

lubridate vs modelbased: at a glance

Featurelubridatemodelbased
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, date-time, parsing, timezoneseasystats, marginal-effects, contrasts, mixed-models
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is lubridate?

lubridate ships parsing fixes, timezone-data churn, and a long-overdue MIT relicense.

lubridate is R's standard package for date-time manipulation. Recent releases are dominated by parsing correctness — partial datetimes, multiple format strings, month names colliding with the %a format — and by adapting to timezone database changes in R-devel. Version 1.9.5 also relicensed the package to MIT.

Read the full lubridate trajectory →

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 →

lubridate vs modelbased: editorial side-by-side

L
lubridate
ANALYTICS
0.0

lubridate ships parsing fixes, timezone-data churn, and a long-overdue MIT relicense.

◆ Current state

lubridate is R's standard package for date-time manipulation. Recent releases are dominated by parsing correctness — partial datetimes, multiple format strings, month names colliding with the %a format — and by adapting to timezone database changes in R-devel. Version 1.9.5 also relicensed the package to MIT.

◆ Where it's heading

The feature surface has been stable since 1.9.0 deprecated the roll argument for roll_dst and added integer coercion for Duration, Period and Interval. What continues is a steady stream of parsing edge cases and tzdata churn the package absorbs on its users' behalf, which is most of what a date-time library's maintenance actually is.

◆ Prediction

Expect further releases driven by tzdata and R-devel changes, with parsing fixes arriving as locale and format edge cases get reported.

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.

Alternatives to lubridate and modelbased

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 lubridate or modelbased.

See all lubridate alternatives → · See all modelbased alternatives →

Recent activity from lubridate and modelbased

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. 6mo agolubridatelubridate 1.9.5 relicenses to MIT and fixes timestamp order
  5. 6mo agolubridatelubridate 1.9.4 parses partial datetimes like as.POSIXct()
  6. 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
  7. 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
  8. 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
  9. 3y agolubridatelubridate 1.9.2 fixes month parsing when %a is present
  10. 3y agolubridatelubridate 1.9.1 accepts multiple formats in as_datetime()
  11. 3y agolubridatelubridate 1.9.0 replaces roll with an explicit roll_dst argument
  12. 5y agolubridatelubridate 1.7.10 fixes interval division across leap years

Frequently asked questions

What is the difference between lubridate and modelbased?

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

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

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

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.