simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of healthyR.data and semmcci — release velocity, themes, recent moves, and the top alternatives to consider.
From a bundled hospital dataset to a live CMS API client.
healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.
Monte Carlo confidence intervals for SEM, now mostly reacting to upstream deprecations
semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.
healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.
The 2023 release added roughly twenty current_*_data() accessors, one per CMS measure file - a wide but static surface. The 2024 releases replaced that approach with metadata lookup plus generic fetchers, then taught the fetchers to handle CSV, Excel, and ZIP payloads rather than API responses alone. The package's weight has moved from what it ships to what it can retrieve.
With the fetch layer generalised, the next visible work is more likely record-limit and error handling around httr2 than further per-measure accessors.
semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.
The functional build-out finished some time ago. MCGeneric() in 1.1.3 and Func()/MCFunc() in 1.1.4 opened the package to user-defined functions of parameters, which is the natural end point for a Monte Carlo interval tool — once arbitrary functions are supported, there is little left to add. Since then releases have tracked lavaan's changes rather than semmcci's own direction, and the gap between them has stretched from months to over a year.
Expect the next release to be triggered by another lavaan deprecation rather than by new capability.
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 healthyR.data or semmcci.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
See all healthyR.data alternatives → · See all semmcci alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. healthyR.data and semmcci 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. healthyR.data and semmcci 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 healthyR.data alternatives in Analytics are ranked by recent ship velocity. Browse the "healthyR.data alternatives" section above for the current picks, or visit /alternatives/healthyr-data for the full list with editorial commentary on each.
Top semmcci alternatives in Analytics are ranked by recent ship velocity. Browse the "semmcci alternatives" section above for the current picks, or visit /alternatives/semmcci for the full list with editorial commentary on each.