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Comparison · Infra & APIs

statsExpressions vs TrendLSW

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

statsExpressions vs TrendLSW: at a glance

FeaturestatsExpressionsTrendLSW
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesstatistics, easystats, ggstatsplot, backendtime-series, wavelets, defaults, plotting
Last editorial update2h ago50m ago
WebsiteVisit →Visit →

What is statsExpressions?

A statistics backend whose release history is mostly other people's weather

statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.

Read the full statsExpressions trajectory →

What is TrendLSW?

Wavelet trend estimation tightens the defaults it shipped with.

TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.

Read the full TrendLSW trajectory →

statsExpressions vs TrendLSW: editorial side-by-side

S
statsExpressions
INFRA · APIS
0.0

A statistics backend whose release history is mostly other people's weather

◆ Current state

statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.

◆ Where it's heading

This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.

◆ Prediction

Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.

T
TrendLSW
INFRA · APIS
0.0

Wavelet trend estimation tightens the defaults it shipped with.

◆ Current state

TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.

◆ Where it's heading

The package has moved from getting onto CRAN to correcting the choices it launched with: the spectrum filter defaults were swapped to their trend counterparts, the plot.CI switch was removed in favour of inferring it from what was actually computed, and an example was shrunk to fit check timings. This is consolidation around a stable API rather than expansion.

◆ Prediction

Further releases most likely continue tuning TLSW() defaults and plot behaviour; the entries show no work toward new estimators.

Alternatives to statsExpressions and TrendLSW

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 statsExpressions or TrendLSW.

See all statsExpressions alternatives → · See all TrendLSW alternatives →

Recent activity from statsExpressions and TrendLSW

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

  1. 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
  2. 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
  3. 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
  4. 6mo agostatsExpressionsAdapts to changes in the easystats packages
  5. 8mo agoTrendLSWTrend filter defaults replace spectrum defaults; plot.CI dropped
  6. 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
  7. 1y agostatsExpressionscentrality_description() follows the new easystats API
  8. 2y agoTrendLSWNew z.acc and z.labels datasets shipped with the package
  9. 2y agoTrendLSWDescription field and plot.TLSW documentation fixes

Frequently asked questions

What is the difference between statsExpressions and TrendLSW?

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

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

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

What are the best alternatives to TrendLSW?

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