monitOS
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
Comparison · Analytics
cfrnow vs npi
A side-by-side editorial comparison of cfrnow and npi — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cfrnow vs npi: at a glance
What is cfrnow?
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.
What is npi?
An R client for the US provider registry, tightening its types and edge-case handling
npi wraps the US National Provider Identifier registry API for R users, covering search, validation and summarisation of provider records. The one release in view is a consolidation pass rather than new surface: input normalisation, vectorised validation, and a typed empty result instead of an ambiguous one when a search finds nothing.
cfrnow vs npi: editorial side-by-side
cfrnow
5.0ANALYTICS
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
◆ Current state
cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.
◆ Where it's heading
The arc runs from producing a single corrected CFR number toward supporting a full model-checking workflow. 0.2.0 added the pieces a modeller needs to defend an estimate: replicate line lists replayed through the real-time truncation, an ascertainment-ratio correction for when fatal and non-fatal cases enter the line list at different rates, and per-group CFRs from `brms` formulas. Delay coverage widened from LogNormal and Gamma to Weibull in the same release.
◆ Prediction
Expect the next release to keep widening covariate and pooling support rather than adding new outcome types, since every 0.2.0 addition extended the existing formula interface instead of replacing it.
npi
0.0ANALYTICS
An R client for the US provider registry, tightening its types and edge-case handling
◆ Current state
npi wraps the US National Provider Identifier registry API for R users, covering search, validation and summarisation of provider records. The one release in view is a consolidation pass rather than new surface: input normalisation, vectorised validation, and a typed empty result instead of an ambiguous one when a search finds nothing.
◆ Where it's heading
The work is aimed at making the package behave predictably inside larger pipelines. Returning a typed empty `npi_results` object on no matches, and having `npi_is_valid()` accept vectors and return logical vectors, both remove branches a caller would otherwise write by hand. The bug fix follows the same line — `npi_summarize()` no longer drops input rows when a record's nested address or taxonomy data is missing.
◆ Prediction
With a single release visible there is not enough of a pattern to predict a direction confidently; the changes here suggest continued interface tidying rather than new API coverage, but that is one data point.
Alternatives to cfrnow and npi
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 cfrnow or npi.
kernelshap
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
filtro
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
modeltime.resample
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.ensemble
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
shapviz
shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.
Recent activity from cfrnow and npi
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5d agocfrnowdistspec dependency moves to CRAN
- 5d agocfrnowStratified CFR fits, Weibull delays, posterior-predictive checks
- 1mo agonpiVectorised validation and typed empty search results
- 1mo agocfrnowFirst release: real-time CFR from a Bayesian mixture-cure model ⚡
Frequently asked questions
What is the difference between cfrnow and npi?
Both compete on the same themes — r-package — within Analytics. cfrnow 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 cfrnow better than npi?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfrnow 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 cfrnow?
Top cfrnow alternatives in Analytics are ranked by recent ship velocity. Browse the "cfrnow alternatives" section above for the current picks, or visit /alternatives/cfrnow for the full list with editorial commentary on each.
What are the best alternatives to npi?
Top npi alternatives in Analytics are ranked by recent ship velocity. Browse the "npi alternatives" section above for the current picks, or visit /alternatives/npi-r for the full list with editorial commentary on each.