Package: spmoran 0.2.3

spmoran: Fast Spatial Regression using Moran Eigenvectors

Functions for estimating spatial varying coefficient models, mixed models, and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate spatial Gaussian processes. These processes are used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2021) <arxiv:1703.04467>.

Authors:Daisuke Murakami <[email protected]>

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21 exports 1.31 score 59 dependencies 4 mentions 32 scripts 481 downloads

Last updated 8 months agofrom:aa7d89162d. Checks:OK: 7. Indexed: yes.

Exports:addlearn_localbesfbesf_vccoef_marginalcoef_marginal_vcesflsemlslmmeigenmeigen_fmeigen0nongauss_yplot_nplot_qrplot_spredict0predict0_vcresfresf_qrresf_vcweigen

Dependencies:bootclassclassIntcliclustercodetoolscolorspaceDBIdeldirdoParalleldotCall64e1071fansifarverfieldsFNNforeachggplot2gluegtableisobanditeratorsKernSmoothlabelinglatticelifecyclemagrittrmapsMASSMatrixmgcvmunsellnlmepermutepillarpkgconfigproxyR6rARPACKRColorBrewerRcppRcppEigenrlangRSpectras2scalessfspspamspDataspdeptibbleunitsutf8vctrsveganviridisLitewithrwk