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Comparison · Analytics
clinify vs forecasting
A side-by-side editorial comparison of clinify and forecasting — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r package
clinify vs forecasting: at a glance
What is clinify?
clinify is closing the gap between flextable defaults and regulatory table specs.
clinify shapes clinical trial tables into the Word deliverables regulatory submissions require, wrapping flextable and officer. Version 0.4.0 is on CRAN and is almost entirely typographic control: spanner rules that follow the header instead of hard-coded column numbers, header padding named for where the space actually sits, and explicit row pitch. The structural release was 0.3.0, which introduced document objects and broke three APIs to get there.
What is forecasting?
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.
clinify vs forecasting: editorial side-by-side
clinify
2.5ANALYTICS
clinify is closing the gap between flextable defaults and regulatory table specs.
◆ Current state
clinify shapes clinical trial tables into the Word deliverables regulatory submissions require, wrapping flextable and officer. Version 0.4.0 is on CRAN and is almost entirely typographic control: spanner rules that follow the header instead of hard-coded column numbers, header padding named for where the space actually sits, and explicit row pitch. The structural release was 0.3.0, which introduced document objects and broke three APIs to get there.
◆ Where it's heading
The package is working through the places where flextable's defaults and a statistical reporting spec disagree, and the notes are unusually explicit about why each default is wrong — a cell's bottom border draws below its bottom padding, so space under a header moves the rule rather than opening a gap beneath it; flextable leaves rows at a nominal quarter inch when the spec names an exact pitch. Each addition is built to survive an organisation's own clinify_table_default() rather than assuming clinify's styling runs last.
◆ Prediction
Header, spanner and row-pitch control all landed together, so the next gap in the same series is title and footnote geometry — the remaining page furniture that 0.3.0's two-part split left roughly specified.
forecasting
0.0ANALYTICS
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to clinify and forecasting
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 clinify or forecasting.
collinear
collinear has broken its API twice to stop making the user pick thresholds.
nert
nert put fourteen TERN datasets behind one dispatcher and called it stable.
scTypeEval
scTypeEval judges single-cell annotations without needing a ground truth to judge them against.
medrobust
medrobust made its partial-identification bounds usable by giving them confidence intervals.
probmed
probmed went from one probabilistic effect size to a family of them in sixteen days.
See all clinify alternatives → · See all forecasting alternatives →
Recent activity from clinify and forecasting
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agoclinifySpanner rules, header padding and exact row pitch
- 1mo agoforecastingVignettes rebuilt under R 4.6.1
- 1y agoclinifyDocument objects: clindoc() and multi-table output ⚡
- 2y agoforecastingVignettes rebuilt under R 4.3.2
- 5y agoforecastingVignettes rebuilt under R 4.0.4
- 7y agoforecastingStandard PIT and discretized log-normal scoring
- 7y agoforecastingThe version used for the book chapter, with pinned dependencies
Frequently asked questions
What is the difference between clinify and forecasting?
Both compete on the same themes — r package — within Analytics. clinify is currently shipping more aggressively (velocity 2.5 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 clinify better than forecasting?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. clinify is currently shipping more aggressively (velocity 2.5 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 clinify?
Top clinify alternatives in Analytics are ranked by recent ship velocity. Browse the "clinify alternatives" section above for the current picks, or visit /alternatives/clinify for the full list with editorial commentary on each.
What are the best alternatives to forecasting?
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.