simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of splines2 and tbrf — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.
tbrf computes rolling statistics over time windows rather than fixed row counts — geometric means, confidence intervals and related summaries indexed by date. That distinction matters for irregularly sampled environmental monitoring data, where a fixed-width window spans different amounts of real time. Version 0.1.7 folds in stat_stepribbon() from ggalt, ships an Entero example dataset for lognormal workflows, and adds na.pad across the tbr_ family.
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.
tbrf computes rolling statistics over time windows rather than fixed row counts — geometric means, confidence intervals and related summaries indexed by date. That distinction matters for irregularly sampled environmental monitoring data, where a fixed-width window spans different amounts of real time. Version 0.1.7 folds in stat_stepribbon() from ggalt, ships an Entero example dataset for lognormal workflows, and adds na.pad across the tbr_ family.
The package spent its middle releases absorbing upstream breakage — a lubridate duration redefinition, a tibble 3.0.0 subassignment change, tidyselect internals. The 0.1.7 release breaks that pattern: it is the first in five years to add capability rather than repair it, and it does so by internalising a stat from an abandoned dependency instead of relying on it. Cadence remains very low, with a five-year gap between 0.1.5 and 0.1.6.
Absorbing stat_stepribbon() directly suggests further vendoring of the plotting layer rather than new statistical functions. The entries do not indicate which rolling statistics, if any, are queued next.
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 splines2 or tbrf.
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 splines2 alternatives → · See all tbrf alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. splines2 and tbrf 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. splines2 and tbrf 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 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.
Top tbrf alternatives in Analytics are ranked by recent ship velocity. Browse the "tbrf alternatives" section above for the current picks, or visit /alternatives/tbrf for the full list with editorial commentary on each.