Package: bsamGP 1.2.5
Beomjo Park
bsamGP: Bayesian Spectral Analysis Models using Gaussian Process Priors
Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Authors:
bsamGP_1.2.5.tar.gz
bsamGP_1.2.5.tar.gz(r-4.5-noble)bsamGP_1.2.5.tar.gz(r-4.4-noble)
bsamGP.pdf |bsamGP.html✨
bsamGP/json (API)
| # Install 'bsamGP' in R: |
| install.packages('bsamGP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:50569d7012. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 14 2024 |
| R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Exports:blqblrbsadbsaqbsaqdpmbsarbsarBigbsardpmfsgblrgbsarintgratintsimrald
Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
