Package: stgam 0.0.1.3

stgam: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models

A framework for specifying spatially, temporally and spatially-and-temporally varying coefficient models using Generalized Additive Models with Gaussian Process smooths. The smooths are parameterised with location and / or time attributes. Importantly the framework supports the investigation of the presence and nature of any space-time dependencies in the data, allows the user to evaluate different model forms (specifications) and to pick the most probable model or to combine multiple varying coefficient models using Bayesian Model Averaging. For more details see: Brunsdon et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.17>, Comber et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.22> and Comber et al (2024) <doi:10.1080/13658816.2023.2270285>.

Authors:Lex Comber [aut, cre], Paul Harris [ctb], Chris Brunsdon [ctb]

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Bug tracker:https://github.com/lexcomber/stgam/issues

On CRAN:

6 exports 1 stars 1.41 score 65 dependencies 8 scripts 328 downloads

Last updated 1 months agofrom:eef5f8c339. Checks:OK: 7. Indexed: yes.

Exports:calculate_vcsdo_bmaevaluate_modelsgam_model_probsplot_1d_smoothplot_2d_smooth

Dependencies:backportscachemcheckmateclassclassIntclicodetoolscolorspacecowplotcpp11data.tableDBIdigestdoParalleldplyre1071fansifarverfastmapforeachFormulaformula.toolsgenericsggplot2gluegtableisobanditeratorsKernSmoothlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemetRmgcvmunsellnlmeoperator.toolspillarpkgconfigplyrproxypurrrR6RColorBrewerRcpprlangs2scalessfstringistringrtibbletidyselecttimechangeunitsutf8vctrsviridisLitewithrwk