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Comparison · Analytics

mmconvert vs rempsyc

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

Shared themes:r-package

mmconvert vs rempsyc: at a glance

Featuremmconvertrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, genome-build, reference-dataapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update4h ago49m ago
WebsiteVisit →Visit →

What is mmconvert?

A single-purpose mouse map interpolator that solved its problem in 2023 and has coasted since

mmconvert does one thing: interpolate between GRCm39 physical positions and the revised Cox genetic map for mouse MUGA array markers. The substantive work all landed in a burst across 2021-2023 — the initial function, the GRCm39 annotation dataset, cross2_to_grcm39(), the recomputed Cox maps and their smoothed replacement. Everything since is upkeep: a warning-message fix in 0.12, and 0.14 is a test adjustment to silence a CRAN Note with no code change at all.

Read the full mmconvert 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 →

mmconvert vs rempsyc: editorial side-by-side

M
mmconvert
ANALYTICS
0.0

A single-purpose mouse map interpolator that solved its problem in 2023 and has coasted since

◆ Current state

mmconvert does one thing: interpolate between GRCm39 physical positions and the revised Cox genetic map for mouse MUGA array markers. The substantive work all landed in a burst across 2021-2023 — the initial function, the GRCm39 annotation dataset, cross2_to_grcm39(), the recomputed Cox maps and their smoothed replacement. Everything since is upkeep: a warning-message fix in 0.12, and 0.14 is a test adjustment to silence a CRAN Note with no code change at all.

◆ Where it's heading

The package has reached the natural end state of a reference-data converter — the reference data stopped moving, so the package stopped moving. Releases now arrive roughly annually and exist to keep CRAN checks green. The 0.14 release shipped the same day as sibling qtl2convert 0.36, confirming these are batch maintenance passes across the maintainer's packages rather than independent development.

◆ Prediction

Without a new mouse genome build or a revised Cox map, the next release is likely another CRAN-check accommodation rather than new functionality.

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 mmconvert 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 mmconvert or rempsyc.

See all mmconvert alternatives → · See all rempsyc alternatives →

Recent activity from mmconvert and rempsyc

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

  1. 1mo agommconvertTest adjustment to clear a CRAN Note
  2. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  3. 1y agommconvertFixes a malformed warning message in mmconvert()
  4. 1y agorempsycExcel correlation export delegated to the correlation package
  5. 2y agorempsycTable spacing control and a fix for name collision with afex
  6. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  7. 2y agorempsycLegend and standardization-check fixes
  8. 2y agorempsycnice_table starts coercing model objects automatically
  9. 3y agommconvertOmits X chromosome positions for sex-averaged and male maps
  10. 3y agommconvertCRAN release adds chromosome lengths and smoothed Cox maps
  11. 3y agommconvertRecomputed Cox genetic maps and combined-array support
  12. 4y agommconvertRepoints data sources from master to main branches

Frequently asked questions

What is the difference between mmconvert and rempsyc?

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

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

Top mmconvert alternatives in Analytics are ranked by recent ship velocity. Browse the "mmconvert alternatives" section above for the current picks, or visit /alternatives/mmconvert 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.