Author: Le Zheng <le.zheng@advantaseeds.com>, Martin Grondona <martin.grondona@advantaseeds.com>, Maria Arrieta <maria.arrieta@advantaseeds.com>
Description: Spatial floor simulation with exponential/Gaussian variance-covariance function (isotropic), with specification of distance function, nugget, sill, range. The methodology follows Nole A.C. Cressie (2015) <doi:10.1002/9781119115151>. The original release is 2017-08-29.

Author: Le Zheng <le.zheng@advantaseeds.com>, Jose Alfaro <JFA170001@utdallas.edu>, Martin Grondona <martin.grondona@advantaseeds.com>, Maria Arrieta <maria.arrieta@advantaseeds.com>
Imports: stats, base, taRifx, blocksdesign

Title: Fit Spatial Generalized Extreme Value Models
Description: Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder 'TMB' in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in 'TMB' by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2021) <arXiv:2110.07051>.
Imports: TMB (>= 1.7.16), mvtnorm, evd, stats
Suggests: INLA, testthat, knitr, rmarkdown
Packaged: 2022-03-31 22:46:27 UTC; meixichen

Imports: igraph, methods, rgeos, shape, sp, splancs
Description: Provision of the S4 SpatialGraph class built on top of objects provided by 'igraph' and 'sp' packages,
and associated utilities. See the documentation
of the SpatialGraph-class within this package for further description. An example of how from a few points one can arrive
to a SpatialGraph is provided in the function sl2sg().