Package: binaryGP 0.2

Chih-Li Sung

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

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>.

Authors:Chih-Li Sung

binaryGP_0.2.tar.gz
binaryGP_0.2.tar.gz(r-4.5-noble)binaryGP_0.2.tar.gz(r-4.4-noble)
binaryGP_0.2.tgz(r-4.4-emscripten)binaryGP_0.2.tgz(r-4.3-emscripten)
binaryGP.pdf |binaryGP.html✨
binaryGP/json (API)

# Install 'binaryGP' in R:
install.packages('binaryGP', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 631 downloads 2 exports 7 dependencies

Last updated 8 years agofrom:db68728417. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025

Exports:binaryGP_fitpredict.binaryGP

Dependencies:GPfitlatticelhslogitnormnloptrRcppRcppArmadillo

Citation

To cite package ‘binaryGP’ in publications use:

Sung C (2017). binaryGP: Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response. R package version 0.2, https://CRAN.R-project.org/package=binaryGP.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {binaryGP: Fit and Predict a Gaussian Process Model with
      (Time-Series) Binary Response},
    author = {Chih-Li Sung},
    year = {2017},
    note = {R package version 0.2},
    url = {https://CRAN.R-project.org/package=binaryGP},
  }