nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
mmconvert vs relialearnr
A side-by-side editorial comparison of mmconvert and relialearnr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
mmconvert vs relialearnr: at a glance
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.
What is relialearnr?
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.
mmconvert vs relialearnr: editorial side-by-side
mmconvert
0.0ANALYTICS
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.
relialearnr
0.0ANALYTICS
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
◆ Current state
ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.
◆ Where it's heading
The tutorials track the maintainer's analysis packages rather than leading them: repairable systems and mean cumulative function teaching material appeared once the modelling functions for them existed elsewhere in the suite, and the reliability testing tutorial followed the same pattern earlier. Recent work has been about depth rather than coverage — interactive parameter sliders, goodness-of-fit sections, model comparison exercises, more quiz questions per topic. The rename to ReliaLearnR was part of the same suite-wide repositioning away from Weibull-specific branding that the plotting package made.
◆ Prediction
On the established pattern, the next tutorials will follow whatever the analysis packages shipped most recently; the entries do not indicate whether the newer tool-server interfaces will get teaching material of their own.
Alternatives to mmconvert and relialearnr
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 relialearnr.
susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
UCell
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
detectseparation
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
brglm2
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
bayestools
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
See all mmconvert alternatives → · See all relialearnr alternatives →
Recent activity from mmconvert and relialearnr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agommconvertTest adjustment to clear a CRAN Note
- 2mo agorelialearnrBlock diagram and repairable systems tutorials added
- 7mo agorelialearnrReliaLearnR 0.3.1
- 7mo agorelialearnrRenamed to ReliaLearnR, with shorter tutorial launchers
- 1y agorelialearnrWeibullR.learnr 0.2.1
- 1y agommconvertFixes a malformed warning message in mmconvert()
- 1y agorelialearnrReliability testing tutorial covering growth analysis and ALT
- 3y agorelialearnrFirst release: the life data analysis tutorial
- 3y agommconvertOmits X chromosome positions for sex-averaged and male maps
- 3y agommconvertCRAN release adds chromosome lengths and smoothed Cox maps
- 3y agommconvertRecomputed Cox genetic maps and combined-array support
- 4y agommconvertRepoints data sources from master to main branches
Frequently asked questions
What is the difference between mmconvert and relialearnr?
Both compete on the same themes — r-package — within Analytics. mmconvert and relialearnr 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 relialearnr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mmconvert and relialearnr 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 relialearnr?
Top relialearnr alternatives in Analytics are ranked by recent ship velocity. Browse the "relialearnr alternatives" section above for the current picks, or visit /alternatives/relialearnr for the full list with editorial commentary on each.