The goal of smile
is to provide an easy to use R
package that functions to
estimate, predict and interpolate areal data. For estimation and prediction we
use a model-based approach assuming areal data to be an average of an underlying
continuos Gaussian random field. For interpolation, we use the simple areal
interpolation, which is a nonparametric approach. Also, we provide functions to
quantify the uncertainty associated with the simple areal interpolation when the
variance of the observed variables is known.
The package accompanies a web page (powered by pkgdown) and 5 vignettes.
- Converting
sf
tospm
objects; - Fitting models and making predictions;
- Areal Interpolation;
- Method;
- Spatial covariance functions;
To install the CRAN version of the, use
install.packages("smile")
## remotes::install_github("lcgodoy/smile")
The installationg of the development version from Github can be done via
remotes::install_github("lcgodoy/smile")
## or devtools::install_github("lcgodoy/smile")