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Allows the estimation and prediction for binary Gaussian process model. The mean function can be assumed to have timeseries structure. The estimation methods for the unknown parameters are based on penalized quasilikelihood/penalized quasipartial likelihood and restricted maximum likelihood. The predicted probability and its confidence interval are computed by MetropolisHastings algorithm. More details can be seen in Sung et al (2017) <arXiv:1705.02511>.
Package details 


Author  ChihLi Sung 
Maintainer  ChihLi Sung <iamdfchile@gmail.com> 
License  GPL2  GPL3 
Version  0.2 
Package repository  View on CRAN 
Installation 
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