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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sensorLeak" in publications use:'
type: software
license: MIT
title: 'sensorLeak: Leakage Detection for Environmental Sensor Data'
version: 0.1.0
abstract: Provides tools for identifying potential information leakage and validation
  risks in machine learning workflows using environmental sensor data. The package
  includes checks for temporal ordering, shared sensors, spatial proximity, and overlapping
  temporal windows. The diagnostics are motivated by considerations of spatial and
  temporal structure in model validation (Roberts et al., 2017) <https://doi.org/10.1111/ecog.02881>.
authors:
- family-names: Umai Raja
  given-names: Divya
  email: iamuayvid@gmail.com
- family-names: Sujil
  given-names: Sanjana
  email: sanjanasujil17@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/division55/sensorLeak
commit: 861caba36fe705d21a2aacc8c3bb83ad27be9b1e
url: https://github.com/division55/sensorLeak
date-released: '2026-09-30'
contact:
- family-names: Umai Raja
  given-names: Divya
  email: iamuayvid@gmail.com