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Comparison · Infra & APIs

dialr vs plssem

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

dialr vs plssem: at a glance

Featuredialrplssem
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesphone-numbers, libphonenumber, rjava, r-packagestructural-equation-modeling, partial-least-squares, multilevel-models, standard-errors
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is dialr?

The R phone-number package stopped only parsing numbers and started asking them where they are.

dialr wraps Google's libphonenumber through rJava, giving R a phone vector class that parses, validates and formats international numbers. It has been quiet since August 2022, when the last release removed a pathology where Java would freeze after enough invalid inputs. The package covers parsing, validation, formatting, and the metadata lookups added in 0.3.0.

Read the full dialr trajectory →

What is plssem?

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

Read the full plssem trajectory →

dialr vs plssem: editorial side-by-side

D
dialr
INFRA · APIS
0.0

The R phone-number package stopped only parsing numbers and started asking them where they are.

◆ Current state

dialr wraps Google's libphonenumber through rJava, giving R a phone vector class that parses, validates and formats international numbers. It has been quiet since August 2022, when the last release removed a pathology where Java would freeze after enough invalid inputs. The package covers parsing, validation, formatting, and the metadata lookups added in 0.3.0.

◆ Where it's heading

Two forces shape the history. One is expansion into what libphonenumber knows beyond the number itself — carrier, geocode, timezone — which happened once, in 2019, and has not been extended since. The other is the ongoing cost of being a Java wrapper inside an R tidyverse: rJava initialisation moved so the :: form works, phone vectors reclassified when tibble 3.0.0 changed how it treats list-based classes, and repeated performance work to make crossing the Java boundary tolerable. The maintainer has floated moving the phone class onto vctrs but has not.

◆ Prediction

The vctrs migration is the one change the maintainer has explicitly signalled, and the hard-deprecated one-shot functions were slated for removal in the next major release; three years of silence make neither imminent.

P
plssem
INFRA · APIS
0.0

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

◆ Current state

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

◆ Where it's heading

The pattern is capability first, inference second. Multilevel MC-PLSc and MC-OrdPLSc arrived in 0.1.2 together with Monte-Carlo delta-method standard errors and a Polyak-Juditsky extrapolation step; 0.1.3 then extended delta-method errors to redundant parameters and thresholds, optimized their computation, added a loglikelihood-based fit measure and generated dynamic bounds to keep MC-PLS solutions admissible. Admissibility recurs throughout — penalized inadmissible solutions in 0.1.1, variance lower bounds and negative residual variance handling in 0.1.3, and an option to drop inadmissible bootstraps rather than silently include them. The release notes are pull-request lists, so the reasoning behind each change stays in the repository.

◆ Prediction

The MIMIC mode and GLS estimator both landed in the most recent release without the standard-error and fit-measure work that followed earlier additions, so extending inference to cover them is the natural next step. Bootstrap defaults moving to 500 replications suggests runtime is a live constraint and further optimization is likely.

Alternatives to dialr and plssem

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 dialr or plssem.

See all dialr alternatives → · See all plssem alternatives →

Recent activity from dialr and plssem

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

  1. 1mo agoplssemMIMIC mode, a GLS structural estimator and delta-method thresholds
  2. 2mo agoplssemMC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models
  3. 3mo agoplssemParallel bootstrapping, kNN and mean imputation, higher-order constructs
  4. 3y agodialrInvalid values short-circuit the Java parser, fixing a freeze
  5. 5y agodialrJava initialises on load, so :: calls work without library()
  6. 6y agodialrR 4.0 bump and tests decoupled from libphonenumber data
  7. 6y agodialrPhone vectors work in tibbles again after the 3.0.0 change
  8. 7y agodialrCarrier, geocode, and timezone lookups added
  9. 7y agodialrTenfold rJava speedup and proper phone equality

Frequently asked questions

What is the difference between dialr and plssem?

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

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

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

What are the best alternatives to plssem?

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