← Back to home
Comparison · Analytics

mritc vs procs

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

Shared themes:r-package

mritc vs procs: at a glance

Featuremritcprocs
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesmedical-imaging, r-package, maintainer-change, dependenciesstatistics, sas-migration, r-package, clinical-reporting
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mritc?

A dormant MRI tissue-classification package revived under a new maintainer.

mritc performs MRI tissue classification in R using Gaussian mixture and hidden Markov models. After a long dormancy it changed hands to a new maintainer, and the three releases in this window all land within weeks of each other — two of them seconds apart, a backfill of the handover release alongside the first substantive one. The work so far is modernisation rather than new methodology.

Read the full mritc trajectory →

What is procs?

An R package rebuilding SAS procedures one PROC at a time, now filling in their options.

procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.

Read the full procs trajectory →

mritc vs procs: editorial side-by-side

M
mritc
ANALYTICS
5.0

A dormant MRI tissue-classification package revived under a new maintainer.

◆ Current state

mritc performs MRI tissue classification in R using Gaussian mixture and hidden Markov models. After a long dormancy it changed hands to a new maintainer, and the three releases in this window all land within weeks of each other — two of them seconds apart, a backfill of the handover release alongside the first substantive one. The work so far is modernisation rather than new methodology.

◆ Where it's heading

The clear direction is reducing what the package demands of the systems it installs on: heavyweight visualisation dependencies moved to optional, tkrplot dropped entirely, and the default plotting backend switched to a package already present in the dependency tree. A test suite and coverage tooling arrived where there had been none. The remaining releases are CRAN-check fallout from that restructuring, which is the expected shape of a revival.

◆ Prediction

Expect further consolidation under the new maintainer — CRAN check fixes and test coverage — before any change to the classification methods themselves.

P
procs
ANALYTICS
0.0

An R package rebuilding SAS procedures one PROC at a time, now filling in their options.

◆ Current state

procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.

◆ Where it's heading

The work has shifted from breadth to fidelity: where earlier releases introduced whole procedures, recent ones add the options a SAS user expects to find on them, most visibly the where parameter spread across five functions at once and plotting support across three. Statistical output is being widened too, with AIC and adjusted Chi-Square appearing. The remaining gap is per-procedure option coverage rather than missing procedures.

◆ Prediction

Expect continued option-level parity work on the existing procedures, with new statistics added to their output tables, rather than a new proc_* function.

Alternatives to mritc and procs

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 mritc or procs.

See all mritc alternatives → · See all procs alternatives →

Recent activity from mritc and procs

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

  1. 12d agomritcBuffer overflow and OpenMP name clash resolved
  2. 23d agomritcVisualisation dependencies made optional, RNifti now the default
  3. 23d agomritcJon Clayden takes over maintenance; C-level GC protection added
  4. 2mo agoprocsproc_ttest() gains sides, freq and weight parameters
  5. 4mo agoprocsA where parameter arrives across five procedures
  6. 8mo agoprocsAdjusted Chi-Square added, altering the proc_freq() table
  7. 2y agoprocsproc_reg() added for regression
  8. 2y agoprocsOrdered-factor handling fixed across three procedures
  9. 2y agoprocsproc_ttest() added, plus factor casting on proc_sort()

Frequently asked questions

What is the difference between mritc and procs?

Both compete on the same themes — r-package — within Analytics. mritc is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is mritc better than procs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mritc is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to mritc?

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

What are the best alternatives to procs?

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