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binaryGP

0.2

Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response

0packages depend
7.2Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Chih-Li SungFirst published 2017-09-191 releasesCRAN page ↗

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.

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Health

CRAN checks
2NOTE11OK
Failing flavors
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Slowest check: 2.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • NOTE2026-04-22
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    8 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
82%
Return-value docs
100%
References docs
0%

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Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.14.1
Imports (9)
RcpplhslogitnormnloptrGPfitstatsgraphicsutilsmethods
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

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Listed in earlier versions (1)
no longer listed · 0.2
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

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
Installed size
not tracked yet
With dependencies
not tracked yet
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