README.md
In cmjt/lgcpSPDE: Fitting and Simulation for log-Gaussian Cox processes using INLA/SPDE approach
Synopsis
R package that primarily implements the fitting and simulating of log-Gaussian Cox point processes using the stochastic partial differential equation (SPDE) approach. Model fitting is carried out using R-INLA.
Installation
Use devtools::install_github("cmjt/lgcpSPDE")
Use
The R function fit.multi() provided in this package was used for the analysis of the Garden Bird Feeding Survey (GBFS) data provided by the British Trust for Ornithology (BTO) in the paper `A spatio-temporal multi-species model of a semi-continuous response' to appear in the Journal of the Royal Statistical Society series C.
Please see https://github.com/cmjt/examples/fit_multi.md for use.
cmjt/lgcpSPDE documentation built on July 25, 2019, 3:05 p.m.
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Synopsis
R package that primarily implements the fitting and simulating of log-Gaussian Cox point processes using the stochastic partial differential equation (SPDE) approach. Model fitting is carried out using R-INLA.
Installation
Use devtools::install_github("cmjt/lgcpSPDE")
Use
The R function fit.multi() provided in this package was used for the analysis of the Garden Bird Feeding Survey (GBFS) data provided by the British Trust for Ornithology (BTO) in the paper `A spatio-temporal multi-species model of a semi-continuous response' to appear in the Journal of the Royal Statistical Society series C.
Please see https://github.com/cmjt/examples/fit_multi.md for use.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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