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invasimapr vs rempsyc

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

invasimapr vs rempsyc: at a glance

Featureinvasimaprrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinvasion ecology, species traits, biodiversity, research softwareapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update6h ago53m ago
WebsiteVisit →Visit →

What is invasimapr?

invasimapr halved its install size and became citable; the science stayed put.

invasimapr estimates species invasiveness and site invasibility from trait, environmental and resident-community data, exposing a traits → competition → invasion-fitness pipeline behind seven high-level wrappers. Its three releases are all packaging and standards work: a first citable archive in June 2026, then a maturity release bringing it in line with the B-Cubed software development guide. The one behavioral addition in that release is an opt-in standardise_inputs argument on compute_invasion_fitness(), off by default.

Read the full invasimapr trajectory →

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 →

invasimapr vs rempsyc: editorial side-by-side

I
invasimapr
ANALYTICS
0.0

invasimapr halved its install size and became citable; the science stayed put.

◆ Current state

invasimapr estimates species invasiveness and site invasibility from trait, environmental and resident-community data, exposing a traits → competition → invasion-fitness pipeline behind seven high-level wrappers. Its three releases are all packaging and standards work: a first citable archive in June 2026, then a maturity release bringing it in line with the B-Cubed software development guide. The one behavioral addition in that release is an opt-in standardise_inputs argument on compute_invasion_fitness(), off by default.

◆ Where it's heading

The pressure is toward being installable and auditable rather than more capable — install slimmed from roughly 100 MB to 56 MB, R CMD check warnings and notes resolved, sp moved to Suggests, a Darwin Core-aligned data dictionary added, and a Zenodo concept DOI with CITATION.cff, codemeta.json and .zenodo.json. The package moves in lockstep with its B-Cubed sibling dissmapr, tagged within minutes of each other at both 0.1.0 and 0.2.1, which points at project-level standards deadlines rather than independent release decisions. Trait dispersion metrics and scenario exploration remain on the roadmap.

◆ Prediction

Standards compliance is now complete and the roadmap names functional trait dispersion metrics and scenario exploration tools, so the next release is the first that can plausibly be about invasion ecology rather than packaging.

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.

Alternatives to invasimapr and rempsyc

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 invasimapr or rempsyc.

See all invasimapr alternatives → · See all rempsyc alternatives →

Recent activity from invasimapr and rempsyc

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

  1. 1mo agoinvasimaprVersion bump; notes identical to 0.2.0
  2. 1mo agoinvasimaprB-Cubed standards alignment; install slimmed to 56 MB
  3. 1mo agoinvasimaprinvasimapr v0.1.0: First citable release
  4. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  5. 1y agorempsycExcel correlation export delegated to the correlation package
  6. 2y agorempsycTable spacing control and a fix for name collision with afex
  7. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  8. 2y agorempsycLegend and standardization-check fixes
  9. 2y agorempsycnice_table starts coercing model objects automatically

Frequently asked questions

What is the difference between invasimapr and rempsyc?

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

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

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

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.