cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
fmtr vs r2dii.analysis
A side-by-side editorial comparison of fmtr and r2dii.analysis — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fmtr vs r2dii.analysis: at a glance
What is fmtr?
Rebuilding SAS's formatting layer in R, one format specification at a time
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
What is r2dii.analysis?
The climate-alignment maths behind PACTA, now stable and maintained rather than reshaped
r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.
fmtr vs r2dii.analysis: editorial side-by-side
fmtr
0.0ANALYTICS
Rebuilding SAS's formatting layer in R, one format specification at a time
◆ Current state
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
◆ Where it's heading
The direction is parity, pursued in small increments. Quarter format codes were added because base R has none; the SAS best. format was reimplemented, then hardened against the variations people actually write; statistical summary helpers like fmt_mean_sd() and fmt_mean_stderr() cover the cell contents clinical tables need. The structural work is largely behind it, including the breaking 2022 move that handed labelling to a sibling package, so what remains is vocabulary coverage.
◆ Prediction
The pattern of adding a SAS format, then a release to handle its variants, suggests the next releases continue filling in format codes and summary helpers rather than changing how formats are applied.
r2dii.analysis
0.0ANALYTICS
The climate-alignment maths behind PACTA, now stable and maintained rather than reshaped
◆ Current state
r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.
◆ Where it's heading
The history is a package converging. Early releases churn the output contract of target_market_share() and target_sda() — which sectors appear, which years, how missing production is treated — and each change alters the numbers users get. The ald-to-abcd rename runs across several releases before completing, and by 0.5.0 the churn has stopped, with three older summarise functions soft-deprecated and the package marked stable. What remains is edge-case correctness in target coverage.
◆ Prediction
With the package marked stable and the terminology migration finished, the soft-deprecated summarise functions are the obvious next thing to remove outright.
Alternatives to fmtr and r2dii.analysis
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 fmtr or r2dii.analysis.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
SSN2
Stream-network spatial models learning to run on data that no longer fits in memory
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
dcurves
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
See all fmtr alternatives → · See all r2dii.analysis alternatives →
Recent activity from fmtr and r2dii.analysis
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agor2dii.analysisLow-carbon technology targets filled in for partial company coverage
- 10mo agofmtrMean and standard error helper, plus best-format variants
- 11mo agofmtrSAS best. format reimplemented in fapply()
- 1y agor2dii.analysisColumn definitions filled into the data dictionary
- 1y agor2dii.analysisPackage declared stable, three summarise functions soft-deprecated
- 2y agofmtrQuarter format codes %q and %Q added
- 2y agofmtrFormat lists become readable and writable files
- 2y agor2dii.analysisald argument removed for good in favour of abcd
- 2y agofmtrDocumentation and examples expanded
- 2y agor2dii.analysisCompany-level SDA converges on the scenario's final year
- 2y agofmtrvalue() can return results as a factor
- 3y agor2dii.analysisRepository moved to the RMI-PACTA organisation
Frequently asked questions
What is the difference between fmtr and r2dii.analysis?
Both compete on the same themes — r-package — within Analytics. fmtr and r2dii.analysis 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 fmtr better than r2dii.analysis?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fmtr and r2dii.analysis 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 fmtr?
Top fmtr alternatives in Analytics are ranked by recent ship velocity. Browse the "fmtr alternatives" section above for the current picks, or visit /alternatives/fmtr for the full list with editorial commentary on each.
What are the best alternatives to r2dii.analysis?
Top r2dii.analysis alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.analysis alternatives" section above for the current picks, or visit /alternatives/r2dii-analysis for the full list with editorial commentary on each.