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rempsyc vs roclang

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

Shared themes:r-package

rempsyc vs roclang: at a glance

Featurerempsycroclang
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesapa-formatting, psychology-research, statistical-tables, ggplot2roxygen2, documentation, developer-tooling, upstream-compat
Last editorial update1h ago46m ago
WebsiteVisit →Visit →

What is rempsyc?

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

Read the full rempsyc trajectory →

What is roclang?

A roxygen2 documentation-reuse helper whose release notes are mostly upstream damage control.

roclang lets package authors pull documentation text out of an existing function's roxygen block and splice it into their own — extract_roc_text() with type = "param", "dot_params" or a section selector. The feature surface has been stable since 0.2.1; the parameter-matching rules and the checks for invalid or ambiguous extractions are the substance of what shipped.

Read the full roclang trajectory →

rempsyc vs roclang: editorial side-by-side

R
rempsyc
ANALYTICS
0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

◆ Current state

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

◆ Where it's heading

Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.

◆ Prediction

The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.

R
roclang
ANALYTICS
0.0

A roxygen2 documentation-reuse helper whose release notes are mostly upstream damage control.

◆ Current state

roclang lets package authors pull documentation text out of an existing function's roxygen block and splice it into their own — extract_roc_text() with type = "param", "dot_params" or a section selector. The feature surface has been stable since 0.2.1; the parameter-matching rules and the checks for invalid or ambiguous extractions are the substance of what shipped.

◆ Where it's heading

Nearly every release since 0.2.0 has been reactive. The package parses documentation text produced by other packages, so a wording change in stats::lm()'s documentation breaks its test suite, and a roxygen2 selection-semantics change forces its parameter matching to follow. The 0.2.3 release is exactly this pattern again. Release cadence has slowed to roughly one entry every two years, and the last two carried no functional change at all.

◆ Prediction

Further releases are most likely triggered by upstream roxygen2 or base R documentation edits breaking tests rather than by new extraction capability. The entries show no queued feature work.

Alternatives to rempsyc and roclang

Other Analytics 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 rempsyc or roclang.

See all rempsyc alternatives → · See all roclang alternatives →

Recent activity from rempsyc and roclang

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

  1. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  2. 11mo agoroclangTest fix for changed stats::lm() Reference section
  3. 1y agorempsycExcel correlation export delegated to the correlation package
  4. 2y agorempsycTable spacing control and a fix for name collision with afex
  5. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  6. 2y agorempsycLegend and standardization-check fixes
  7. 2y agorempsycnice_table starts coercing model objects automatically
  8. 3y agoroclangREADME loading switched to pkgload, downloads badge added
  9. 3y agoroclangDot-params error messages and ... selection unblocked
  10. 4y agoroclangMulti-parameter selection follows roxygen2 7.1.2 semantics
  11. 4y agoroclangAmbiguous unqualified function names now error
  12. 4y agoroclangCI workflows, fuller test coverage, unqualified-package fix

Frequently asked questions

What is the difference between rempsyc and roclang?

Both compete on the same themes — r-package — within Analytics. rempsyc and roclang 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 rempsyc better than roclang?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rempsyc and roclang 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 Analytics products to evaluate alongside.

What are the best alternatives to rempsyc?

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

What are the best alternatives to roclang?

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