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Comparison · Infra & APIs

svrep vs tealeaves

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

svrep vs tealeaves: at a glance

Featuresvreptealeaves
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-statistics, replicate-weights, variance-estimation, bootstrapplant-physiology, energy-balance, leaf-temperature, units
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is svrep?

Steadily absorbing every replicate-weight method the survey literature has to offer

svrep is a broad implementation of replication-based variance estimation for complex surveys, covering the generalized bootstrap, Fay's generalized replication, successive difference replication and the random-groups jackknife. The last two years added methods quickly: the Antal-Tille doubled half bootstrap, the Beaumont-Emond and kernel-based BOSB variance estimators, and optional torch-backed computation of replicate weights. Version 0.9.0 tightened the package boundary, promoting 'survey' from Imports to Depends and deleting the long-deprecated rescale_reps().

Read the full svrep trajectory →

What is tealeaves?

A leaf-temperature model that finished its job in 2020 and has stayed finished

tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.

Read the full tealeaves trajectory →

svrep vs tealeaves: editorial side-by-side

S
svrep
INFRA · APIS
0.0

Steadily absorbing every replicate-weight method the survey literature has to offer

◆ Current state

svrep is a broad implementation of replication-based variance estimation for complex surveys, covering the generalized bootstrap, Fay's generalized replication, successive difference replication and the random-groups jackknife. The last two years added methods quickly: the Antal-Tille doubled half bootstrap, the Beaumont-Emond and kernel-based BOSB variance estimators, and optional torch-backed computation of replicate weights. Version 0.9.0 tightened the package boundary, promoting 'survey' from Imports to Depends and deleting the long-deprecated rescale_reps().

◆ Where it's heading

The recent arc is consolidation rather than expansion. 0.9.0 removed a deprecated function, added accessors and refactored for memory, while 0.9.1 exists only to answer a Journal of Statistical Software review. That submission explains the shape of the changelog: the API is being frozen and documented rather than extended. Method coverage is broad enough that additions are now gap-fills for particular sampling designs.

◆ Prediction

Expect the next releases to track the JSS review through to publication with documentation and output-structure tidying, and any new estimator to arrive only when an issue or reviewer asks for a specific design.

T
tealeaves
INFRA · APIS
0.0

A leaf-temperature model that finished its job in 2020 and has stayed finished

◆ Current state

tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.

◆ Where it's heading

This is finished scientific software. The arc runs from a 1.0.0 that already described the full model, through a usability decision in 1.0.1 to accept unitless values and assign units rather than demand them, to a 2020 cluster of compatibility and correctness work around publication. Nothing since has touched the model, and the 2022 release is pure paperwork. Its most instructive entry remains 1.0.5, where a new feature silently produced incorrect parameter crossing and the fix arrived with tests to pin the behaviour.

◆ Prediction

Expect nothing unless a dependency or CRAN check forces a release; on this record any such release will be documentation and packaging rather than a change to the energy balance.

Alternatives to svrep and tealeaves

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 svrep or tealeaves.

See all svrep alternatives → · See all tealeaves alternatives →

Recent activity from svrep and tealeaves

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

  1. 10mo agosvrepDocumentation and output tidying for JSS review
  2. 11mo agosvrep'survey' moves to Depends; deprecated rescale_reps() removed
  3. 1y agosvrepAntal-Tille doubled half bootstrap added
  4. 1y agosvrepSuccessive difference replication, kernel variance estimator, optional torch backend
  5. 2y agosvrepHelpers to shuffle, subsample and pad replicate columns
  6. 2y agosvrepVersion bump for CRAN check failures
  7. 4y agotealeavesCitation file, vignette and README fixes
  8. 6y agotealeavesParameter-crossing bug fixed with tests; coverage added
  9. 6y agotealeavesFix for custom sky temperature function being overwritten
  10. 6y agotealeavesSky temperature as value or function; dplyr 1.0.0 compatibility
  11. 7y agotealeavesUnitless parameter values now accepted and assigned units
  12. 7y agotealeavesFirst release: leaf energy balance with per-surface conductances

Frequently asked questions

What is the difference between svrep and tealeaves?

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

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

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

What are the best alternatives to tealeaves?

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