simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
kde1d vs nflseedR
A side-by-side editorial comparison of kde1d and nflseedR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
kde1d vs nflseedR: at a glance
What is kde1d?
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.
What is nflseedR?
nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.
nflseedR computes NFL standings, playoff seeding and draft order, and simulates seasons to produce playoff probabilities. Version 2.0.0 replaced the engine rather than extending it: nfl_standings() and nfl_simulations() are new implementations, and the original compute_division_ranks(), compute_conference_seeds(), compute_draft_order() and simulate_nfl() are all slated for deprecation. The two releases since have been correctness fixes and a CRAN-requested documentation styling change.
kde1d vs nflseedR: editorial side-by-side
kde1d
0.0ANALYTICS
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
nflseedR
0.0ANALYTICS
nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.
◆ Current state
nflseedR computes NFL standings, playoff seeding and draft order, and simulates seasons to produce playoff probabilities. Version 2.0.0 replaced the engine rather than extending it: nfl_standings() and nfl_simulations() are new implementations, and the original compute_division_ranks(), compute_conference_seeds(), compute_draft_order() and simulate_nfl() are all slated for deprecation. The two releases since have been correctness fixes and a CRAN-requested documentation styling change.
◆ Where it's heading
The direction is toward a leaner, faster package with fewer dependencies, and the deprecation plan is stated openly — retiring simulate_nfl() is described as the step that lets the dependency list shrink significantly. Tiebreaker coverage has been filled in to the point where only net touchdowns remain unimplemented, and load_sharpe_games() has been handed off to nflreadr. Requiring R 4.1 for the native pipe is the same instinct applied to the language floor.
◆ Prediction
The deprecations are announced but not executed, so the next substantive release most likely removes simulate_nfl() and the older standings helpers and drops the dependencies that were the stated reason for the rewrite. Net-touchdown tiebreaking is the one gap the entries explicitly leave open.
Alternatives to kde1d and nflseedR
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 nflseedR.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all kde1d alternatives → · See all nflseedR alternatives →
Recent activity from kde1d and nflseedR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agonflseedRDocumentation image styling changed at CRAN's request
- 0y agonflseedRPostseason Elo correction and standings output consistency fixes
- 1y agokde1dkde1d 1.1.1
- 1y agonflseedRNew standings and simulation engine replaces the original design ⚡
- 1y agokde1dZero-inflated mixtures and a new standalone C++ API ⚡
- 3y agonflseedRSelective simulation and a data.table speedup
- 4y agonflseedRSimulation output becomes a class with a summary method
- 4y agokde1dBit-wise Boolean operations removed
- 5y agonflseedRError handling hardened for CRAN checks
- 5y agokde1ddkde1d() invisible output fixed
- 5y agokde1dValgrind false positive silenced
- 6y agokde1dqrng dependency dropped; undefined behaviour fixed
Frequently asked questions
What is the difference between kde1d and nflseedR?
Both compete on the same themes — r-package — within Analytics. kde1d and nflseedR 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.
Is kde1d better than nflseedR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. kde1d and nflseedR 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.
What are the best alternatives to kde1d?
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.
What are the best alternatives to nflseedR?
Top nflseedR alternatives in Analytics are ranked by recent ship velocity. Browse the "nflseedR alternatives" section above for the current picks, or visit /alternatives/nflseedr for the full list with editorial commentary on each.