Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response
Overview
Allows the estimation and prediction for binary Gaussian process model. The mean function can be assumed to have time-series structure. The estimation methods for the unknown parameters are based on penalized quasi-likelihood/penalized quasi-partial likelihood and restricted maximum likelihood. The predicted probability and its confidence interval are computed by Metropolis-Hastings algorithm. More details can be seen in Sung et al (2017) arXiv:1705.02511.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Chih-Li Sung <iamdfchile@gmail.com>’
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can be seen in Sung et al (2017) <arXiv:1705.02511>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.- NOTE11 OK, 2 NOTENow
- NOTE9 OK, 5 NOTE2026-04-22
- ERROR8 OK, 5 NOTE, 1 ERROR2026-04-18
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 82%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing binaryGP adds 6 packages (4 with compiled code, 5.3 MB of source tarballs). Heaviest: nloptr 2.1 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.2Latest2017-09-19 · current release
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-09-19
- Total releases
- 1 / 9 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 2.14.1
- Download size
- 14 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
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