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plssem vs rstudio.prefs

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

Shared themes:r-packages

plssem vs rstudio.prefs: at a glance

Featureplssemrstudio.prefs
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesstructural-equation-modeling, partial-least-squares, multilevel-models, standard-errorsr-packages, rstudio, developer-tools, configuration-as-code
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is rstudio.prefs?

Four years dormant, rstudio.prefs returns under a new maintainer.

The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.

Read the full rstudio.prefs trajectory →

plssem vs rstudio.prefs: editorial side-by-side

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.

R
rstudio.prefs
INFRA · APIS
2.5

Four years dormant, rstudio.prefs returns under a new maintainer.

◆ Current state

The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.

◆ Where it's heading

The through-line is teaching every setter how to unset. Secondary repositories got NULL removal back in 0.1.6; 0.2.0 extends the same convention to keyboard shortcuts. Most of the rest of 0.2.0 is arrears — a stale documentation URL that hid preferences such as enable_splash_screen, a deprecated purrr::update_list() call, and check_shortcut_consistency() erroring early on an unknown name.

◆ Prediction

With a new maintainer and refreshed GitHub Actions, the near-term work is likely more catch-up of the same kind: remaining deprecated dependencies and the preference list that fetch_rstudio_prefs() reads from RStudio's docs. Nothing in these notes points past RStudio settings as the scope.

Alternatives to plssem and rstudio.prefs

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 plssem or rstudio.prefs.

See all plssem alternatives → · See all rstudio.prefs alternatives →

Recent activity from plssem and rstudio.prefs

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

  1. 8h agorstudio.prefsShortcut removal, an addins.json fix, and a new maintainer
  2. 1mo agoplssemMIMIC mode, a GLS structural estimator and delta-method thresholds
  3. 2mo agoplssemMC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models
  4. 3mo agoplssemParallel bootstrapping, kNN and mean imputation, higher-order constructs
  5. 4y agorstudio.prefsPreferences now read and written through rstudioapi
  6. 4y agorstudio.prefsConfig files left alone when nothing would change
  7. 4y agorstudio.prefsSecondary repositories can be deleted again
  8. 4y agorstudio.prefsRepository removal via NULL; config path helpers exported
  9. 5y agorstudio.prefsDocumentation, error messages, and array-type caution

Frequently asked questions

What is the difference between plssem and rstudio.prefs?

Both compete on the same themes — r-packages — within Infra & APIs. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is plssem better than rstudio.prefs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

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.

What are the best alternatives to rstudio.prefs?

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