nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
mmconvert vs reliagrowr
A side-by-side editorial comparison of mmconvert and reliagrowr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
mmconvert vs reliagrowr: 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 reliagrowr?
A reliability growth package put its models behind an MCP server for AI assistants to call.
ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.
mmconvert vs reliagrowr: 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.
reliagrowr
0.0ANALYTICS
A reliability growth package put its models behind an MCP server for AI assistants to call.
◆ Current state
ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.
◆ Where it's heading
Two arcs run in parallel. The statistical one is a steady march from plotting a growth curve to modelling recurrent failures properly — segmented NHPP models that detect their own change points, Nelson-Aalen estimation, Cramér-von Mises and Kolmogorov-Smirnov statistics for judging the fits. The interface one is newer and more unusual: the package now ships an MCP server, and its sibling plotting package followed with one two weeks later, so this is a deliberate direction across the maintainer's reliability suite rather than a single experiment. Naming and S3 conventions were cleaned up early, which is what made a uniform tool surface plausible later.
◆ Prediction
Given the sibling packages moved to MCP within weeks of each other, the remaining tools in the suite are the obvious next candidates; on the statistical side, goodness-of-fit having just arrived suggests model comparison and selection helpers are the natural follow-on.
Alternatives to mmconvert and reliagrowr
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 reliagrowr.
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 reliagrowr alternatives →
Recent activity from mmconvert and reliagrowr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agommconvertTest adjustment to clear a CRAN Note
- 2mo agoreliagrowrReliability growth models exposed as MCP tools ⚡
- 4mo agoreliagrowrRepairable systems analysis arrives: NHPP, MCF, exposure
- 4mo agoreliagrowrMaximum likelihood fitting and failure simulation
- 8mo agoreliagrowrReliaGrowR 0.3.2
- 9mo agoreliagrowrMore plotting and printing options for RGA and Duane models
- 10mo agoreliagrowrS3 methods replace the ad hoc plotting functions
- 1y agommconvertFixes a malformed warning message in mmconvert()
- 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 reliagrowr?
Both compete on the same themes — r-package — within Analytics. mmconvert and reliagrowr 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 reliagrowr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mmconvert and reliagrowr 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 reliagrowr?
Top reliagrowr alternatives in Analytics are ranked by recent ship velocity. Browse the "reliagrowr alternatives" section above for the current picks, or visit /alternatives/reliagrowr for the full list with editorial commentary on each.