secuTrialR
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
A side-by-side editorial comparison of edibble and edina — release velocity, themes, recent moves, and the top alternatives to consider.
A grammar for experimental design that learned to compose designs and track its own provenance.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
A finished psychometric estimator kept alive by toolchain upkeep, not new modeling work.
edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.
Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.
edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.
The gap between 0.1.1 and 0.1.2 is over five years, and 0.1.2 contains no modeling changes at all: dependency floors, a Makevars cleanup for newer Armadillo, a Quarto README, a CITATION fix for CRAN notes, and refreshed CI. This is custodial maintenance of a research artifact rather than active development. The same release landed across the maintainer's other packages the same morning — rrum got a near-identical body ten minutes earlier — which marks it as a lab-wide compatibility sweep, not an edina-specific push.
Expect the next release to be another compatibility bump triggered by an Armadillo or Rcpp change rather than new estimation features, on a similar multi-year cadence.
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 edibble or edina.
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
Brazil's flight-data package keeps working around what ANAC publishes and when.
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
See all edibble alternatives → · See all edina alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. edibble and edina 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. edibble and edina 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 edibble alternatives in Analytics are ranked by recent ship velocity. Browse the "edibble alternatives" section above for the current picks, or visit /alternatives/edibble for the full list with editorial commentary on each.
Top edina alternatives in Analytics are ranked by recent ship velocity. Browse the "edina alternatives" section above for the current picks, or visit /alternatives/edina for the full list with editorial commentary on each.