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parameters vs timetk

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

Shared themes:r-package

parameters vs timetk: at a glance

Featureparameterstimetk
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseasystats, model-parameters, standardization, mixed-modelstime-series, anomaly-detection, visualization, feature-engineering
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is parameters?

easystats' parameters package absorbs one more model class every few weeks

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

Read the full parameters trajectory →

What is timetk?

timetk swallowed anomalize whole, then went quiet for two years

timetk handles time series wrangling, visualization, and feature engineering in a tidyverse idiom. Its defining recent move was absorbing the anomalize package outright in 2.9.0, bringing anomaly detection, cleaning, and the associated plots inside timetk rather than leaving them in a sibling package. Development then paused for nearly two years before 2.9.1, a robustness and documentation release.

Read the full timetk trajectory →

parameters vs timetk: editorial side-by-side

P
parameters
ANALYTICS
0.0

easystats' parameters package absorbs one more model class every few weeks

◆ Current state

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

◆ Where it's heading

The package's job is to be the universal adapter for model output, so its roadmap is effectively set by what the R modelling ecosystem produces. Two threads are visible beyond coverage: getting standard errors right for awkward cases such as frailty terms and robust vcov matrices, and getting labels right when factors are converted on the fly or character variables appear in a formula. Interoperability inside easystats keeps tightening, with equivalence_test() gaining methods for modelbased objects.

◆ Prediction

Given the cadence, the next release will most likely add another model class alongside label and standard-error fixes rather than change how the package works.

T
timetk
ANALYTICS
0.0

timetk swallowed anomalize whole, then went quiet for two years

◆ Current state

timetk handles time series wrangling, visualization, and feature engineering in a tidyverse idiom. Its defining recent move was absorbing the anomalize package outright in 2.9.0, bringing anomaly detection, cleaning, and the associated plots inside timetk rather than leaving them in a sibling package. Development then paused for nearly two years before 2.9.1, a robustness and documentation release.

◆ Where it's heading

The trajectory before the pause was consolidation: fold in adjacent functionality, then make the visualization layer handle many series at once via trelliscopejs, then broaden feature generation with tk_tsfeatures(). The recent release works on the least glamorous layer — internal generics so date parsing and sequence generation behave consistently across Date, POSIXct, hms, yearmon, and yearqtr — which is the kind of foundation work a package does when it has accumulated too many special cases. The long gap and the CI-refresh content suggest maintenance attention rather than a new direction.

◆ Prediction

The stated gap is the unimplemented twitter method for anomalize(), which is the one concrete outstanding item the release notes name; beyond that the recent work points to consolidation rather than expansion.

Alternatives to parameters and timetk

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 parameters or timetk.

See all parameters alternatives → · See all timetk alternatives →

Recent activity from parameters and timetk

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

  1. 1mo agoparametersparameters 0.29.2 extends lavaan support and fixes label dropping
  2. 2mo agoparametersparameters 0.29.1 adds a cluster argument and fixes vcov handling
  3. 3mo agoparametersparameters 0.29.0 stops standardizing the intercept in post-hoc methods
  4. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  5. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  6. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  7. 11mo agotimetktimetk 2.9.1 makes date parsing consistent across time classes
  8. 2y agotimetktimetk 2.9.0 absorbs the anomalize package
  9. 4y agotimetktimetk 2.8.1 exposes trelliscope plotting parameters
  10. 4y agotimetktimetk 2.8.0 adds trelliscopejs support for many-series plots
  11. 4y agotimetktimetk 2.7.0 adds tk_tsfeatures() for grouped feature matrices
  12. 4y agotimetktimetk 2.6.2 adds .week_start and facet direction controls

Frequently asked questions

What is the difference between parameters and timetk?

Both compete on the same themes — r-package — within Analytics. parameters and timetk 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 parameters better than timetk?

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

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

What are the best alternatives to timetk?

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