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Comparison · Analytics
broman vs spmodel
A side-by-side editorial comparison of broman and spmodel — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
broman vs spmodel: at a glance
What is broman?
A statistician's personal toolbox, growing one plotting utility at a time
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
What is spmodel?
Spatial regression in R, adding block kriging and then tuning the numerics underneath it
spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.
broman vs spmodel: editorial side-by-side
broman
0.0ANALYTICS
A statistician's personal toolbox, growing one plotting utility at a time
◆ Current state
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
◆ Where it's heading
The additions cluster around two themes: time-axis plotting and running-window summaries, both of which have been extended across several releases. Nothing here is planned in the usual sense — functions appear when the author needs them and bugs are fixed when they surface downstream, as jiggle() did through dotplot(). The C-level cleanup in 0.92 matches the same change made to R/qtl the same week, which is what maintaining a set of packages under one author looks like.
◆ Prediction
Both recent function additions extend existing families rather than starting new ones, so the next release is most likely another variant in the running-window or time-plotting group, or a fix surfaced by one of the author's other packages.
spmodel
0.0ANALYTICS
Spatial regression in R, adding block kriging and then tuning the numerics underneath it
◆ Current state
spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.
◆ Where it's heading
Two threads run in parallel. The first is expanding what can be predicted — point predictions, then areal averages over a region via block kriging, then better accuracy and efficiency for that path as the block size default moved from 1000 to 4000 in 0.12.0. The second is numerical trustworthiness, and it is unusually prominent here: a range-constraint option for stability in 0.9.0, a corrected log determinant of the fixed effects in the restricted log likelihood in 0.11.0, a cloud semivariogram that had been doubling the semivariance fixed in 0.11.1, and now a tighter optimiser tolerance. Several of these silently changed results before they were caught.
◆ Prediction
Expect the maintainers to keep publishing explicit reproduction instructions alongside numerical default changes, as 0.13.0 does by documenting the `control = list(reltol = 1e-4)` escape hatch. The entries give no signal of expansion beyond the current model families.
Alternatives to broman and spmodel
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 broman or spmodel.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
protr
protr's feature set is finished; the work now is surviving Bioconductor's churn.
seriation
seriation stopped shipping algorithms and started shipping a way to pick between them.
arulesViz
arulesViz finished its move to ggplot2 and has been coasting on maintenance since.
See all broman alternatives → · See all spmodel alternatives →
Recent activity from broman and spmodel
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 8mo agobromanRemove R_ext/PrtUtil.h include flagged by CRAN
- 9mo agospmodelCloud semivariogram doubling fixed; geometry warnings added
- 10mo agobromanFix exact-name matching in crayons()
- 11mo agobromanFix jiggle() with factors missing levels
- 1y agospmodelBlock kriging for areal averages and their uncertainty ⚡
- 1y agobromanrunningratio2() uses an adaptive window
- 1y agospmodelRobust semivariogram and new covariance types for areal models
- 1y agospmodelRange constraint option and redefined covariance type names
- 2y agobromantimeplot() added; running functions accept NAs
- 2y agobromantime_axis() added for date-time axis labels
Frequently asked questions
What is the difference between broman and spmodel?
Both compete on the same themes — r-package — within Analytics. broman and spmodel 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 broman better than spmodel?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broman and spmodel 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 broman?
Top broman alternatives in Analytics are ranked by recent ship velocity. Browse the "broman alternatives" section above for the current picks, or visit /alternatives/broman-r for the full list with editorial commentary on each.
What are the best alternatives to spmodel?
Top spmodel alternatives in Analytics are ranked by recent ship velocity. Browse the "spmodel alternatives" section above for the current picks, or visit /alternatives/spmodel for the full list with editorial commentary on each.