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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "predkmeans" in publications use:'
type: software
license: GPL-3.0-only
title: 'predkmeans: Covariate Adaptive Clustering'
version: 0.1.1
doi: 10.32614/CRAN.package.predkmeans
abstract: Implements the predictive k-means method for clustering observations, using
  a mixture of experts model to allow covariates to influence cluster centers. Motivated
  by air pollution epidemiology settings, where cluster membership needs to be predicted
  across space. Includes functions for predicting cluster membership using spatial
  splines and principal component analysis (PCA) scores using either multinomial logistic
  regression or support vector machines (SVMs). For method details see Keller et al.
  (2017) <https://doi.org/10.1214/16-AOAS992>.
authors:
- family-names: Keller
  given-names: Joshua
  email: joshua.keller@colostate.edu
repository: https://cranhaven.r-universe.dev
commit: e7540746a187ebf72131031711c96ec2e4b30002
date-released: '2019-12-16'
contact:
- family-names: Keller
  given-names: Joshua
  email: joshua.keller@colostate.edu