simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of delaporte and vinecopula — release velocity, themes, recent moves, and the top alternatives to consider.
A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.
Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.
Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.
VineCopula is the long-standing R implementation of vine copula models, maintained alongside Thomas Nagler's kde1d, vinereg, and svines packages over a shared rvinecopulib core. The March 2025 pair is the only recent substance: RVineCDF() for the cumulative distribution of a fitted vine, followed same-day by a Frank-copula tau inversion fix. Everything else in the window is sanity checks, C-loop fixes, and export corrections.
Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.
The maintenance burden here is portability, not statistics. Recent entries track a Fortran suffix change for Intel compiler compatibility, architecture-specific test tolerances, type-safety corrections on values crossing the C-to-Fortran boundary, and a thread-count variable relocated from R options to an environment variable to follow an upstream R commit. The distribution functions themselves are settled; what changes is how the compiled code is built and checked across CRAN's platform matrix.
Expect the next release to follow another CRAN toolchain or Writing R Extensions policy change, as the last several have. Two of the four visible entries carry no notes at all, so this feed will keep understating what actually shipped.
VineCopula is the long-standing R implementation of vine copula models, maintained alongside Thomas Nagler's kde1d, vinereg, and svines packages over a shared rvinecopulib core. The March 2025 pair is the only recent substance: RVineCDF() for the cumulative distribution of a fitted vine, followed same-day by a Frank-copula tau inversion fix. Everything else in the window is sanity checks, C-loop fixes, and export corrections.
Development has narrowed to filling gaps in the evaluation surface - EmpCDF() in 2.5.0, RVineCDF() in 2.6.0 - while the estimation machinery stays put. Releases arrive in same-day pairs, feature tag then bug-fix tag, so the version count overstates the cadence. A stray v0.2.6 tag with an empty body sits between them and belongs to the shared engine rather than this package's own 2.x numbering.
The pattern points to another evaluation-side function rather than new copula families or estimation methods; the run of boundary and NA-handling fixes suggests continued edge-case cleanup in the existing families.
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 delaporte or vinecopula.
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 delaporte alternatives → · See all vinecopula alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. delaporte and vinecopula 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. delaporte and vinecopula 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 delaporte alternatives in Analytics are ranked by recent ship velocity. Browse the "delaporte alternatives" section above for the current picks, or visit /alternatives/delaporte for the full list with editorial commentary on each.
Top vinecopula alternatives in Analytics are ranked by recent ship velocity. Browse the "vinecopula alternatives" section above for the current picks, or visit /alternatives/vinecopula for the full list with editorial commentary on each.