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Comparison · Infra & APIs

PINstimation vs remap

A side-by-side editorial comparison of PINstimation and remap — release velocity, themes, recent moves, and the top alternatives to consider.

PINstimation vs remap: at a glance

FeaturePINstimationremap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmarket-microstructure, finance, informed-trading, r-packagespatial-modeling, geostatistics, r-packages, maintenance-mode
Last editorial update46m ago2h ago
WebsiteVisit →Visit →

What is PINstimation?

A market-microstructure toolkit that keeps adding estimators as the papers land.

PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.

Read the full PINstimation trajectory →

What is remap?

A regional-model smoother in long-term maintenance, four years past its last real feature.

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

Read the full remap trajectory →

PINstimation vs remap: editorial side-by-side

P
PINstimation
INFRA · APIS
0.0

A market-microstructure toolkit that keeps adding estimators as the papers land.

◆ Current state

PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.

◆ Where it's heading

Each release tracks the literature: a Bayesian PIN estimator from Griffin et al., an improved VPIN from Ke and Lin, initial-parameter generation realigned to Ersan and Ghachem. The other steady thread is data handling — matrix inputs so the estimators compose with rolling windows, user-specified aggregation frequencies, and now quote leads as well as lags. The three-year gap between 0.1.2 and 0.2.0 makes this a slow, publication-paced package rather than an actively developed one.

◆ Prediction

On this pattern the next release adds whatever estimator the authors publish next, since two of the three feature releases here implement a specific paper. Nothing in the entries points to a change in the package's structure.

R
remap
INFRA · APIS
0.0

A regional-model smoother in long-term maintenance, four years past its last real feature.

◆ Current state

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

◆ Where it's heading

This is a stable academic package tracking its ecosystem rather than growing. The visible pattern is reactive maintenance: sf's 1.0.0 transition, ggplot2's size-to-linewidth rename, a gcc-UBSAN error on zero-point distance calculations, and now a check that distance matrices passed to remap() and predict() are converted to kilometres. Note that the feed's timestamps invert the version order — 0.3.1 is stamped seconds after 0.3.2 despite being the earlier release, so recency in this feed is not a reliable guide to sequence.

◆ Prediction

Nothing in these entries points to new capability. The realistic expectation is more of the same: a patch whenever sf, ggplot2 or a CRAN check surfaces an incompatibility, at roughly the observed cadence of one release every year or two.

Alternatives to PINstimation and remap

Other Infra & APIs 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 PINstimation or remap.

See all PINstimation alternatives → · See all remap alternatives →

Recent activity from PINstimation and remap

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoremapDistance matrices now converted to kilometres automatically
  2. 8mo agoPINstimationPINstimation 0.2.0
  3. 1y agoremapCitation updated to the R Journal article
  4. 1y agoremapUBSAN fix, parallel patch and sf search-path independence
  5. 3y agoPINstimationPINstimation v0.1.2
  6. 3y agoPINstimationPINstimation v0.1.1
  7. 3y agoPINstimationPINstimation v0.0.1-beta
  8. 3y agoPINstimationPINstimation v0.1.0
  9. 3y agoremappredict() can return an upper bound on combined standard errors
  10. 5y agoremapRegions without observations no longer break the prediction surface

Frequently asked questions

What is the difference between PINstimation and remap?

They serve adjacent needs but don't currently overlap on shipped themes. PINstimation and remap 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 PINstimation better than remap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. PINstimation and remap 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to PINstimation?

Top PINstimation alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PINstimation alternatives" section above for the current picks, or visit /alternatives/pinstimation for the full list with editorial commentary on each.

What are the best alternatives to remap?

Top remap alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "remap alternatives" section above for the current picks, or visit /alternatives/remap for the full list with editorial commentary on each.