tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
cfr vs chattr
A side-by-side editorial comparison of cfr and chattr — release velocity, themes, recent moves, and the top alternatives to consider.
cfr vs chattr: at a glance
What is cfr?
cfr packaged delay-corrected severity estimation, then went quiet on maintenance.
The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.
What is chattr?
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
cfr vs chattr: editorial side-by-side
cfr
0.0ANALYTICS
cfr packaged delay-corrected severity estimation, then went quiet on maintenance.
◆ Current state
The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.
◆ Where it's heading
The methodological work is done and consolidated: likelihood approximation is now selected automatically from outbreak size and an initial severity estimate, and the internals were renamed with a dot prefix to close the public surface down to cfr_static(), cfr_rolling() and the data-preparation generic. Releases since have been documentation and compatibility only.
◆ Prediction
The 0.1.0 notes flagged time-varying ascertainment as future work and it has not appeared in the two releases since; nothing in these entries indicates when or whether it lands.
chattr
0.0ANALYTICS
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
◆ Current state
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
◆ Where it's heading
The first two releases show why that happened. Each provider brought its own error formats, token discovery and response handling, and 0.2.0 is largely a list of per-provider repairs — OpenAI error parsing, Copilot token discovery and model defaults, a new Databricks foundation model backend. Maintaining that surface scales linearly with the number of providers, and the pivot to ellmer trades it for a single dependency. The cost shows up immediately in 0.3.1, which exists solely to absorb a change in ellmer's token object.
◆ Prediction
Expect chattr's releases to now track ellmer's, as 0.3.1 already does, with the package's own work concentrating on the IDE experience rather than model connectivity. New provider support will arrive without a chattr release at all.
Alternatives to cfr and chattr
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 cfr or chattr.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
Recent activity from cfr and chattr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 0y agochattrAdapts to ellmer's token object change
- 1y agochattrAll model integration moves to ellmer, direct backends removed ⚡
- 1y agocfrR-devel difftime patch and an individual-data vignette
- 2y agochattrDatabricks foundation models added; per-provider error handling fixed
- 2y agocfrSeverity estimator picks its own likelihood approximation
- 2y agochattrFirst release: LLM chat in the RStudio console and app
- 2y agocfrDelay-corrected severity and ascertainment estimation on CRAN ⚡
Frequently asked questions
What is the difference between cfr and chattr?
They serve adjacent needs but don't currently overlap on shipped themes. cfr and chattr 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 cfr better than chattr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfr and chattr 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 cfr?
Top cfr alternatives in Analytics are ranked by recent ship velocity. Browse the "cfr alternatives" section above for the current picks, or visit /alternatives/cfr for the full list with editorial commentary on each.
What are the best alternatives to chattr?
Top chattr alternatives in Analytics are ranked by recent ship velocity. Browse the "chattr alternatives" section above for the current picks, or visit /alternatives/chattr for the full list with editorial commentary on each.