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Comparison · Infra & APIs

ordinalsimr vs tf

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

ordinalsimr vs tf: at a glance

Featureordinalsimrtf
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesordinal-data, shiny, simulation, statistical-testsfunctional-data-analysis, vctrs, multivariate, r-packages
Last editorial update2h ago7h ago
WebsiteVisit →Visit →

What is ordinalsimr?

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

Read the full ordinalsimr 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 →

ordinalsimr vs tf: editorial side-by-side

O
ordinalsimr
INFRA · APIS
0.0

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

◆ Current state

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

◆ Where it's heading

The release bodies are auto-generated pull-request lists covering the repository's whole history, so they read as a build log rather than a changelog: data entry UI, an rhandsontable statistics module, iteration and sample-size modules, binomial confidence intervals, plot tests, and a rename to the current package name late in development. What that log shows is a single-author project built to completion privately and then published all at once, with the public version history existing mainly to satisfy CRAN.

◆ Prediction

With the CRAN submission accepted and no post-release entries in the feed, the next move is most likely a maintenance release; the PR log gives no signal of planned work beyond the tests already implemented.

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 ordinalsimr 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 ordinalsimr or tf.

See all ordinalsimr alternatives → · See all tf alternatives →

Recent activity from ordinalsimr and tf

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

  1. 1mo agotfVector-valued functional data becomes a first-class type
  2. 5mo agotfCurve registration, five depth measures and sub-domain splitting
  3. 1y agoordinalsimrv0.1.3 CRAN submission
  4. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  5. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  6. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission
  7. 2y agotfFix: tf_crosscov normalization

Frequently asked questions

What is the difference between ordinalsimr and tf?

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

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

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