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fibermargin  

Categorical Mask and Spatial Label Refinement
View on CRAN: Click here


Download and install fibermargin package within the R console
Install from CRAN:
install.packages("fibermargin")

Install from Github:
library("remotes")
install_github("cran/fibermargin")

Install by package version:
library("remotes")
install_version("fibermargin", "0.1.0")



Attach the package and use:
library("fibermargin")
Maintained by
Stefano Cacciatore
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-18
Latest Update: 2026-09-18
Description:
Implements 'FiberMargin', a deterministic training-free operator for repairing categorical masks and spatial labels from coordinates and labels alone. Its primary multiclass operator uses rotated space-filling-curve charts and two-sided class enclosure at one fixed geometric transport range. A class-balanced, isolation-protected chart-disagreement rule provides pointwise repair decisions and audit scores. An auxiliary nearest-neighbour ballot handles binary masks. The 'C++' engine supports two- and three-dimensional coordinates, removes constant axes independently within each specimen, and reuses one deterministic CPU worker budget without nested process pools. Reproducible mask corruptions, planar and volumetric simulators, damage-aware evaluation, and compact licensed human dorsolateral prefrontal cortex and colorectal cancer benchmarks support assessment.
How to cite:
Stefano Cacciatore (2026). fibermargin: Categorical Mask and Spatial Label Refinement. R package version 0.1.0, https://cran.r-project.org/web/packages/fibermargin. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for fibermargin
Functions, R codes and Examples using the fibermargin R package
Full fibermargin package functions and examples
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