Package: growfunctions 0.16
growfunctions: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.
Authors:
growfunctions_0.16.tar.gz
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growfunctions.pdf |growfunctions.html✨
growfunctions/json (API)
NEWS
# Install 'growfunctions' in R: |
install.packages('growfunctions', repos = c('https://tds151.r-universe.dev', 'https://cloud.r-project.org')) |
- cps - Monthly employment counts from 1990 - 2013 from the Current Population Survey
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:fa564a1d37. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:cluster_plotfit_comparegen_informative_samplegmrfdpcountPostgmrfdpgrowgmrfdpPostgpBFixPostgpdpbPostgpdpgrowgpdpPostgpFixPostgpPostinformative_plotMSPEplot_clusterpredict_functionspredict_plotsamples
Dependencies:clicolorspacedotCall64fansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesspamstringistringrtibbleutf8vctrsviridisLitewithr