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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)
Package details 


Author  ChihLi Sung 
Date of publication  20170919 08:34:21 UTC 
Maintainer  ChihLi Sung <[email protected]> 
License  GPL2  GPL3 
Version  0.2 
Package repository  View on CRAN 
Installation 
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