treasury
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
A side-by-side editorial comparison of chromConverter and forecasting — release velocity, themes, recent moves, and the top alternatives to consider.
The chromatography file-format translator keeps absorbing vendor formats one release at a time
chromConverter reads proprietary chromatography data files into R. Version 0.9.0 adds four input paths — Agilent ACAML markup, Agilent OpenLab .amx method files, preliminary Chromatotec .Chrom support, and plain UTF-8 CSV — while consolidating sample_id and vial into a single sample_position field and introducing a chrom_list class whose print method shows a compact metadata summary instead of dumping every chromatogram.
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
chromConverter reads proprietary chromatography data files into R. Version 0.9.0 adds four input paths — Agilent ACAML markup, Agilent OpenLab .amx method files, preliminary Chromatotec .Chrom support, and plain UTF-8 CSV — while consolidating sample_id and vial into a single sample_position field and introducing a chrom_list class whose print method shows a compact metadata summary instead of dumping every chromatogram.
Format coverage is the product, so each release reads as a list of newly readable vendors. The more interesting movement in 0.9.0 is around the data rather than the parsers: consolidating metadata fields, defaulting the rainbow parser to sparse output for long-format MS data, and reordering read_agilent_d to prioritise DAD data over 2D chromatograms. Those are opinions about what users actually want back, and each one breaks existing code.
Chromatotec support is described as preliminary, which is the same language that has preceded fuller parser support in this package before.
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.
Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.
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 chromConverter or forecasting.
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
Text analysis in R keeps optimising its token internals — and builds a path out to torch
The ModernDive teaching package learns to render inside the browser that runs its own textbook
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
See all chromConverter alternatives → · See all forecasting alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. chromConverter and forecasting 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. chromConverter and forecasting 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.
Top chromConverter alternatives in Analytics are ranked by recent ship velocity. Browse the "chromConverter alternatives" section above for the current picks, or visit /alternatives/chromconverter for the full list with editorial commentary on each.
Top forecasting alternatives in Analytics are ranked by recent ship velocity. Browse the "forecasting alternatives" section above for the current picks, or visit /alternatives/forecasting for the full list with editorial commentary on each.