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Comparison · Infra & APIs

prospectr vs statsExpressions

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

prospectr vs statsExpressions: at a glance

FeatureprospectrstatsExpressions
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesspectroscopy, signal-processing, preprocessing, calibration-samplingstatistics, easystats, ggstatsplot, backend
Last editorial update1h ago54m ago
WebsiteVisit →Visit →

What is prospectr?

prospectr spent its biggest release in years fixing spectra it had been quietly mangling.

prospectr provides the signal-processing layer for near-infrared and visible spectroscopy in R — Savitzky-Golay and gap-segment derivatives, standard normal variate, detrending, continuum removal, splice correction, plus calibration sampling algorithms like Kennard-Stone and DUPLEX and readers for ASD and BUCHI NIRCal instrument files. The May release is the substantial one: a long list of corrections to functions that were returning wrong or missing values rather than failing.

Read the full prospectr trajectory →

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 →

prospectr vs statsExpressions: editorial side-by-side

P
prospectr
INFRA · APIS
0.0

prospectr spent its biggest release in years fixing spectra it had been quietly mangling.

◆ Current state

prospectr provides the signal-processing layer for near-infrared and visible spectroscopy in R — Savitzky-Golay and gap-segment derivatives, standard normal variate, detrending, continuum removal, splice correction, plus calibration sampling algorithms like Kennard-Stone and DUPLEX and readers for ASD and BUCHI NIRCal instrument files. The May release is the substantial one: a long list of corrections to functions that were returning wrong or missing values rather than failing.

◆ Where it's heading

The recent work is corrective rather than additive, and several items changed results silently before being caught. continuumRemoval() derived its convex-hull boundary offset from a fixed one-wavelength assumption that broke for fine-resolution spectra or non-nanometre units; cochranTest() passed an invalid argument name to prcomp() and produced incorrect principal component scores; readASD() silently dropped spectra in one branch of its text path. Two file readers were leaking connections. Alongside that runs a smaller thread of decoupling preprocessing steps from each other, most visibly detrend() gaining an snv argument so polynomial detrending can run without the SNV transform that Barnes et al. bundled with it.

◆ Prediction

The detrend() decoupling is the only recent addition and it fits a broader pipeline-composition direction, so similar separation of other bundled preprocessing steps is the plausible next move. The misspelled substraction argument now carries a deprecation warning, which schedules its removal for a future release.

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.

Alternatives to prospectr and statsExpressions

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 prospectr or statsExpressions.

See all prospectr alternatives → · See all statsExpressions alternatives →

Recent activity from prospectr and statsExpressions

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

  1. 1mo agoprospectrdetrend() can run without a prior SNV transformation
  2. 2mo agoprospectrContinuum removal, SNV and cochranTest corrected; readers stop leaking
  3. 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
  4. 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
  5. 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
  6. 6mo agostatsExpressionsAdapts to changes in the easystats packages
  7. 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
  8. 1y agostatsExpressionscentrality_description() follows the new easystats API
  9. 1y agoprospectrread_nircal() sample ID field fix
  10. 3y agoprospectrNon-UTF8 sample IDs no longer become NA
  11. 4y agoprospectrkenStone() bug fix
  12. 4y agoprospectrread_nircal() execution failure fixed

Frequently asked questions

What is the difference between prospectr and statsExpressions?

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

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

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

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.