simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of kde1d and splines2 — release velocity, themes, recent moves, and the top alternatives to consider.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.
kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.
The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.
With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.
splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.
The direction is interoperability rather than new mathematics. 0.5.0 added nsk() to match survival::nsk(), an H matrix for converting cubic B-splines produced elsewhere into this package's natural splines, and short aliases meant to be typed inside model formulas. Periodic B-splines were the one genuinely new basis, and its Rcpp knot-sequence handling needed a follow-up fix. Wenjie Wang maintains it alongside intsurv and reda.
The last four releases are all corrections, so the next one most likely continues that pattern; a further basis type would break a two-year run of consolidation.
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 kde1d or splines2.
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 kde1d alternatives → · See all splines2 alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. kde1d and splines2 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. kde1d and splines2 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 kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.
Top splines2 alternatives in Analytics are ranked by recent ship velocity. Browse the "splines2 alternatives" section above for the current picks, or visit /alternatives/splines2 for the full list with editorial commentary on each.