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Comparison · Infra & APIs

surveycore vs tf

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

Shared themes:r-packages

surveycore vs tf: at a glance

Featuresurveycoretf
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-statistics, variance-estimation, replicate-weights, api-stabilityfunctional-data-analysis, vctrs, multivariate, r-packages
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is surveycore?

surveycore declared its API stable with every survey design type covered.

surveycore is the estimation engine of a two-package survey stack, handling design objects and variance estimation while surveytidy supplies the dplyr verbs on top. The June release marks it 1.0.0 and states the API is complete and stable across Taylor series linearization, replicate weights, two-phase and non-probability designs, with means, totals, frequencies, quantiles, ratios, correlations, regression, t-tests, ANOVA and effective sample size all in place.

Read the full surveycore trajectory →

What is tf?

tf gave functional data a second dimension: curves whose values are vectors.

tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.

Read the full tf trajectory →

surveycore vs tf: editorial side-by-side

S
surveycore
INFRA · APIS
0.0

surveycore declared its API stable with every survey design type covered.

◆ Current state

surveycore is the estimation engine of a two-package survey stack, handling design objects and variance estimation while surveytidy supplies the dplyr verbs on top. The June release marks it 1.0.0 and states the API is complete and stable across Taylor series linearization, replicate weights, two-phase and non-probability designs, with means, totals, frequencies, quantiles, ratios, correlations, regression, t-tests, ANOVA and effective sample size all in place.

◆ Where it's heading

The last months before 1.0.0 were spent making the awkward designs behave like the ordinary ones. Non-probability designs gained jackknife replicate schemes and got their bootstrap repweights routed through the replicate-weight variance estimator in survey_glm(), matching every other estimation function. The survey_collection abstraction — several surveys treated as one pseudo-data-frame — was tightened rather than extended: divergent grouping across members now errors instead of stitching a patchwork with bind_rows(), and the missing-variable argument was renamed and given a stored default on the collection itself. A documentation audit before 1.0.0 turned up six dispatch and print bugs and corrections across forty-plus files, which is the kind of thing that surfaces when an API is being frozen rather than extended.

◆ Prediction

A declared-stable API means the next releases should be additive or corrective rather than breaking, and the pre-1.0.0 pattern of breaking renames should stop. The tight version pinning between the two packages means surveytidy releases will keep following surveycore's.

T
tf
INFRA · APIS
0.0

tf gave functional data a second dimension: curves whose values are vectors.

◆ Current state

tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.

◆ Where it's heading

The package is widening what a functional observation can be, then porting the toolkit onto it. Registration arrived first in 0.4.0 for univariate curves and immediately gained an srvf_mv method for aligning components jointly, and tfb_mfpc() ports principal component analysis to the multivariate case with a single set of scores shared across components. Alongside that runs steady dependency shedding — mvtnorm and pracma both replaced by inlined samplers that reproduce prior draws bit-for-bit, glue dropped for cli in the previous release — and an unusually long tail of NA-handling and edge-case fixes, several caught in pre-release review of the new classes.

◆ Prediction

The new classes ship with FPCA, registration and shape alignment but the release notes describe tidyfun::tf_unnest() as the consumer of one new export, so the visible next step is the rest of the tidyfun stack catching up to vector-valued columns. Expect follow-up patches on the vctrs casting paths, which is where most of this release's late fixes clustered.

Alternatives to surveycore and tf

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 surveycore or tf.

See all surveycore alternatives → · See all tf alternatives →

Recent activity from surveycore and tf

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

  1. 1mo agotfVector-valued functional data becomes a first-class type
  2. 2mo agosurveycoreFirst stable release: all four survey design types complete
  3. 3mo agosurveycoreget_effective_n() computes effective sample size
  4. 3mo agosurveycoreCollections error on divergent grouping; .on_missing renamed
  5. 4mo agosurveycoreCRAN patch removing surveytidy from the vignette
  6. 5mo agotfCurve registration, five depth measures and sub-domain splitting
  7. 2y agotfFix: tf_crosscov normalization

Frequently asked questions

What is the difference between surveycore and tf?

Both compete on the same themes — r-packages — within Infra & APIs. surveycore and tf 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 surveycore better than tf?

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

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

What are the best alternatives to tf?

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