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Comparison · Infra & APIs

coga vs TrendLSW

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

coga vs TrendLSW: at a glance

FeaturecogaTrendLSW
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesprobability-distributions, gamma-convolution, rcpp, maintenance-modetime-series, wavelets, defaults, plotting
Last editorial update6h ago43m ago
WebsiteVisit →Visit →

What is coga?

A gamma-convolution density package that reached completion in 2018 and has coasted since.

coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.

Read the full coga 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 →

coga vs TrendLSW: editorial side-by-side

C
coga
INFRA · APIS
0.0

A gamma-convolution density package that reached completion in 2018 and has coasted since.

◆ Current state

coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.

◆ Where it's heading

This is a finished package being kept alive rather than developed. The releases track external pressure exactly: CRAN documentation requirements, compiler warnings, Rcpp API changes. Its maintenance is visibly shared with smam, the same maintainer's animal-movement package, which received the same email update, the same format-security fix and the same Rcpp guard within a minute or twenty of coga each time. Neither package is being extended; both are being kept installable.

◆ Prediction

Expect nothing but CRAN and toolchain maintenance, arriving whenever Rcpp or R's check requirements change, and arriving alongside smam. There is no signal in these entries of planned functional work.

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 coga 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 coga or TrendLSW.

See all coga alternatives → · See all TrendLSW alternatives →

Recent activity from coga and TrendLSW

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

  1. 5mo agocogaRcpp attributes regenerated; email updated
  2. 8mo agoTrendLSWTrend filter defaults replace spectrum defaults; plot.CI dropped
  3. 2y agoTrendLSWNew z.acc and z.labels datasets shipped with the package
  4. 2y agoTrendLSWDescription field and plot.TLSW documentation fixes
  5. 2y agocogaMaintainer email updated
  6. 2y agocogaCompiler format-security warning resolved
  7. 3y agocogaPackage documentation alias added for CRAN
  8. 6y agocogaUnexported density variant added for research use
  9. 8y agocoga1.0.0 declares the package complete and documented

Frequently asked questions

What is the difference between coga and TrendLSW?

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

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

Top coga alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "coga alternatives" section above for the current picks, or visit /alternatives/coga 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.